Explore 215 AI agents including 110 open-source and 105 closed-source solutions for automation, development, productivity, and business intelligence.
Last updated: 2025-10-27

Autonomous Data Labeling Agent framework offering reliable performance through ground truth validation. Provides controllable output with flexible constraints, specializes in custom data processing workflows, features autonomous learning via observation and reflection, and includes an extensible runtime adaptable to diverse requirements without a steep learning curve.

Recommender system simulator powered by 1,000 LLM-based generative agents. Each agent embodies distinct social traits and preferences derived from the MovieLens-1M dataset, interacting with personalized movie recommendations through actions like watching, rating, evaluating, and providing feedback in a page-by-page interface.

Low-code framework for rapid development and iteration of AI-powered autonomous agents and cognitive architectures. Supports multiple LLM providers including OpenAI, Anthropic Claude, and local Oobabooga models. Features customizable memory management, on-the-fly prompt editing, and database-agnostic architecture with seamless ChromaDB integration.

Browser-based no-code platform for deploying autonomous GPT agents. Users assign goals, observe thinking processes, and watch execution plans unfold. Leverages OpenAI functions, supports gpt-3.5-16k with extended context, and integrates Pinecone and pg_vector databases. Built on NextJS/TypeScript frontend with FastAPI/Python backend.

Desktop application for building, managing, and conversing with AI agents. Seamlessly integrates with Open Interpreter for code execution and MemGPT for advanced memory management. Features multi-agent group chat functionality enabling collaborative conversations between multiple agents.

Comprehensive library for constructing language agents with dual-memory architecture combining VectorDB-powered long-term semantic memory and LLM-maintained short-term working memory. Features tool usage via function-calling, web navigation through search engines, dynamic multi-agent communication controlled by LLM-based coordination, human-agent interaction support, and SOP (Standard Operation Process) symbolic control for fine-grained workflow customization.
Platform for assembling multiple agents to collaboratively tackle complex tasks through coordinated teamwork. Enables creation of custom environments where multiple agents can be observed or engaged in interactive simulations. Supports both task-solving workflows and simulation scenarios with emergent multi-agent behaviors.

TypeScript-based autonomous agent platform enabling multiple agents to collaborate on task completion. Provides framework infrastructure for coordinated multi-agent operations with console-based direct message interactions between agents and users.
Command-line pair programming tool for GPT-3.5/GPT-4 integration with local git repositories. Supports both new projects and existing codebases, enabling fluid switching between AI-assisted editing and manual code modifications. Automatically commits changes from both AI and developer with meaningful commit messages, excelling with larger pre-existing codebases.

Chatbot agent that independently plans and executes tasks described in natural language by dynamically constructing a hierarchical agents calling tree. Features inter-agent interaction mechanisms for fault tolerance and automatic building of external interaction modules for self-expansion capabilities.

Microsoft framework for developing LLM applications using multiple conversational agents that collaborate to solve tasks and interact with humans. Simplifies complex LLM workflows with enhanced automation and optimization. Offers easy performance tuning, API unification, caching, and supports advanced patterns including error handling, multi-config inference, and context programming.

Experimental open-source project making GPT-4 fully autonomous with over 140k GitHub stars. Chains LLM thoughts to autonomously achieve user-defined goals. Features internet access for searches and information gathering, long-term and short-term memory management, command execution including Google Search, website browsing, file operations, Python script execution, access to popular platforms, GPT-3.5 file summarization, and plugin extensibility.
GPT-4 powered code generation system that leverages entire project context to execute development instructions seamlessly. Aims to evolve into fully autonomous self-programming AI system with integration for all agent platforms and LLM providers. Utilizes novel SymbolRank code search algorithm for superior coding intelligence with modular, configurable design and minimal external dependencies.

Automated pull request agent activated by adding an AutoPR label to GitHub issues. Autonomously plans fixes, writes implementation code, pushes branches, and opens pull requests for review. Streamlines the entire code contribution workflow from issue identification to PR submission.

GPT-3.5 powered prototype enterprise HR assistant that autonomously answers human resources queries using specialized tools. Current toolkit includes Timekeeping Policy database, Employee Data access, and Calculator functionality with additional tools in development pipeline.

Simplified version of Task-Driven Autonomous Agent that creates tasks based on previous results and predefined objectives. Leverages OpenAI GPT-4, Pinecone vector search, and LangChain framework. Maintains task list for management and prioritization, autonomously generating new tasks from completed results and dynamically reprioritizing, showcasing AI language model adaptability. Default model is GPT-3.5-turbo.

Advanced evolution of BabyAGI featuring enhanced task management prompt for comprehensive information analysis and synthesis. Built on GPT-4 architecture supporting multiple functions within single task management prompt. Introduces significantly more complex task management compared to original BabyAGI, providing foundation for sophisticated AI applications despite slower processing speeds.
Lightweight 300-line modification of BabyBeeAGI with task creation agent running once, execution agent looping through tasks, and task dependencies for pulling relevant results. Features two tools (search and text completion), mini-agent functionality, and integrated search tool combining search, scrape, chunking, and extraction. Results synthesized into summary reports.
Compact 350-line BabyAGI modification optimized for GPT-3.5-turbo eliminating GPT-4 requirement. Features parallel task execution for faster performance, user input tool integration, query rewriting in web search tool, and automatic result saving capabilities.
Expanded 895-line modification of BabyDeerAGI introducing Skills class for creating new capabilities, dynamic task list with vector search, beta reflection agent, and self-modifying code abilities allowing it to read, write, and review its own implementation.

CLI-LLM integration agent based on BabyAGI that executes shell commands for automatic programming and environment setup. Successfully demonstrated Flutter environment installation, app creation and launch on Linux containers. Handles general tasks including text generation, code writing, language translation. Requires virtual environment like Docker due to system modification risks. GPT-4 or higher recommended.
BabyElfAGI modification with self-improving FOXY method task lists that store final reflections and pull relevant insights to guide future runs. Features novel chat UI with parallel tasks panel, enabling multiple simultaneous task requests. New skills include DALLE image generation with prompt assist, Deezer music player, Airtable search integration, and Startup Analyst function. Chat can use single skills quickly or chain multiple skills via tasklist.
Data exploration and analysis tool for non-programmers operating in continuous loops. Mixes different models with varied capabilities, token costs, and context windows per task. Maintains conversation memory, builds dynamic prompts using Pinecone vector DB context, breaks down codified responses into step-by-step algorithms, generates and debugs Python code for analysis/modeling/plotting with auto-correction, ranks answers, requests user feedback, and builds knowledge-base from rankings.
Early-stage autonomous agent project under active development targeting wide range of task categories. Built by AutoPackAI for handling diverse productivity and general-purpose operations. BeeBot is currently a work in progress and should be treated as an early stage research project. Its focus is not on production usage at this time.

Open-source AI debugging agent for VSCode inspired by SWE-agent. Uses LLMs to identify and fix backend code errors through VSCode API integration, Language Server Protocol (LSP), and print statement debugging to triangulate and address bugs in real-world systems.
GPT-4 powered semantic code search engine for Rust and TypeScript codebases. Features precise code navigation built on stack graphs and scope queries, fast Rust-written regex matching engine, natural language and filtered query support for local and remote repositories, change staging capabilities, and downloadable app via GitHub.

Highly capable autonomous AI agent with easy-to-use CLI, RESTful/WebSocket API, and pre-built Docker image. Supports all GPT-N, Embeddings and DALL-E OpenAI models plus Azure OpenAI Services. Features powerful code interpreter capabilities, Postgres DB data query integration, telephony support via BlandAI, stock trading via Alpaca Markets, and Gmail/Google Search integration. Simple pip install and commands to start CLI or server.
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AI agent for automated npm dependency management and upgrades. BUMPs package versions and GENerates code fixes for breaking changes. Supports gpt-4-turbo. Simple global npm install and easy command-line usage for dependency updates with automatic code adaptation.

Open-source scheduling assistant built on Cal.com infrastructure. Books meetings, summarizes weekly schedules, and finds time with others using natural language. Responds flexibly to unseen tasks like 'move my second-last meeting to tomorrow morning'. Powered by GPT-4 and LangChain Agent Executor.

Communicative Agents for 'Mind' Exploration architecture - open-source library for building autonomous and communicative agent systems. Comprehensive framework for creating agents capable of complex communication patterns and collaborative behaviors.

Multi-Agent Language Game Environments for LLMs focused on developing AI communication and collaboration capabilities. Provides general framework for building interactive environments for multiple LLMs, collection of pre-built and community-created environments, and user-friendly interfaces with Web UI and command-line options.

Virtual software company powered by intelligent agents assuming roles like CEO, CPO, CTO, programmer, reviewer, tester, and art designer. Agents collaborate in organizational structure through functional seminars on design, coding, testing, and documentation. Provides accessible, modular, extensible LLM-based platform for studying collective intelligence with extensive customization for tailoring development processes, defining phases, and establishing roles. Committed to open-source principles.

Open-source LangChain-based agent for accurate solution of reasoning-intensive chemical tasks. Integrates 13 expert-designed tools to augment LLM chemistry performance. Uses ReAct format (Thought, Action, Action Input, Observation). Human expert evaluations show ChemCrow significantly outperforms GPT-4 alone in chemical correctness and task completion, highlighting limitations of LLM self-evaluation in specialized domains.

Development agent designed to build code for or with users. Capable of autonomous planning, writing, debugging, and testing for some projects. Optimal usage involves reviewing its work and providing iterative feedback for harder tasks.

Intelligent assistant serving entire software development lifecycle powered by Multi-Agent Framework. Works with DevOps Toolkits, Code & Doc Repository RAG, and comprehensive development tools. Covers full spectrum from planning to deployment.

AI assistant for interactive codebase querying using natural language. Utilizes vector embeddings, intelligent chunking, and OpenAI language models to enable efficient and intuitive code navigation through semantic understanding.
AI code assistant that writes code and answers questions by reading your entire codebase and understanding the code graph. Provides intelligent code generation and contextual answers based on comprehensive codebase analysis.

Open-source autopilot for software development bringing ChatGPT capabilities to VS Code. Answers coding questions, enables natural language editing, and generates files from scratch. Streamlines development workflow with intelligent code assistance.

Framework for orchestrating role-playing autonomous AI agents that work together seamlessly, tackling complex tasks through collaborative intelligence. Built on LangChain, empowering engineers to harness collective AI agent power. Features modular design with agents, tools, tasks, processes, and crews. Each agent has specific roles, background stories, goals, and memories.
Framework for systematically navigating AI through complete end-to-end scientific research, from raw data to comprehensive, transparent, human-verifiable research papers. Guides interacting LLM and rule-based agents through conventional scientific paths including data annotation, hypothesis creation, literature search, code writing and debugging, result interpretation, and step-by-step paper writing. Enhances transparency, traceability, and verifiability while allowing scientist oversight.
No-code platform for creating AI chatbots trained on custom data. Pivoted to Chaindesk. Easy setup with model selection, data configuration, and deployment to website, Slack, Crisp, or Zapier. Built with Next.js, Joy UI, LangchainJS, PostgreSQL, Prisma, and Qdrant. Features streamlined customer support, team onboarding, data loading from multiple sources, user-friendly datastore management, and secured API endpoints.

Leverages LLMs to provide fast and effective demo creation for applications of any purpose. Automates prototyping process, making it efficient and time-saving. Understands and processes prompts to generate relevant applications. Integrated with LangChain for code generation through iterative documentation parsing using Tree of Transformations approach. Roadmap includes constant improvements based on user feedback and addressing hallucination challenges.

AI team that builds microservices based on your ideas. Automated development team comprised of virtual Product Manager, Developer, and DevOps. Creates tailored microservices through advanced artificial intelligence, making software development seamless and efficient. Covers every aspect from concept to deployment.

Agentic AI Software Engineer that understands high-level human instructions, breaks them into steps, researches relevant information, and writes code to achieve given objectives. Competitive open-source alternative to Devin by Cognition AI.

Open-source alternative to Devin developed by Entropy research. Agentic AI software engineering tool focused on autonomous development capabilities.

AI-Driven Software Development Automation Solution combining LLMs with DevOps tools to convert natural language requirements into working software. Improves development efficiency, shortens cycles, and reduces communication costs for higher-quality software delivery. Features automated code generation and validation. Enterprise Edition includes existing project analysis, professional model selection with private deployment support, and integration with more DevOps platforms.
Agent management system facilitating creation of robust AI applications and experimental autonomous agents through rich developer tools. Enables deployment across cloud, PCs, or mobile devices with Python or plain English integrations. Features powerful prompt compiler for advanced Language Model control, optimizing response generation. Allows seamless export of agents into portable files for execution in any environment, with optional Agentbox for optimized computing resource management in sandboxed environment.

Open-source SDK for building AI agents with pluggable and modular component architecture. Enables rapid development and deployment of multi-agent systems through flexible, customizable framework.

AI-based compiler converting English-based markdown specifications into functional code. Based on the premise that great projects start with detailed functional specifications typically written in natural language. Compiles written specifications directly to code, envisioning a future where software development is driven primarily by written text.
AI agent that adapts itself in real-time based on tasks at hand. Utilizes pre-defined agent personas tailored to specific task domains. Each iteration of execution loop selects and adopts the persona fitting the task best, making it uniquely adaptive.
Open-source framework designed to accelerate transition from prototype to production for multi-agent AI workflows. For AutoGen framework users, enables seamless scaling of Jupyter notebook prototypes into fully functional production-ready applications. Features multi-framework support, unified programming interface, and powerful API integration capabilities, streamlining deployment while maintaining flexibility and performance.

Open-source low-code tool for developers to build customized LLM orchestration flows and AI agents. Enables rapid development of sophisticated AI applications through visual interface and modular components.

AI developer assistant capable of creating complete Node.js projects with unlimited prompts. Provides core prompt for application foundation with ability to add unlimited sections representing specific app parts. Utilizes GPT-4 for assistance, optimized with GPT-4-32k for improved speed and results. Requires 2 small requests for app base and 1 request per section. Employs esbuild behind the scenes for every created app.

Engineering platform AI team member capable of working alongside you in production environment, executing tasks in dev and cloud environments including AWS, Kubernetes, Argo, GitHub, etc. Allows enhancement through integration of custom tools and APIs. Features Slack App Bot integration and supports GPT-3.5 and GPT-4.

Web platform inspired by AutoGPT and BabyAGI for conducting various tasks through nice UI. Capabilities include ordering coffee at Starbucks, performing market analysis, and finding and negotiating leases. Supports GPT-3.5 and GPT-4.
Robust all-in-one GPT interface for Discord. Supports multi-modality image understanding, code interpretation, advanced data analysis, Q&A on custom documents, internet-connected chat with Wolfram Alpha and Google access, AI-moderation, DALL-E image generation, and much more. Features code execution and environment manipulation by E2B. Supports OpenAI models.
AI agent that generates entire codebases based on prompts using GPT-4. Asks for clarification before constructing complete code. Easy to adapt, extend, and customize agent behavior by editing identity files. Stores communication history for each step in logs folder, allowing message log reruns.
Easily migrates codebases from one framework or language to another. Pick from different LLMs, generate and run unit tests for new codebase, select source and target languages, and customize agent workflow (setup, migrate, test). Team working on adding benchmarks for agent performance measurement.

AI agent that codes entire apps from scratch while developers oversee implementation. Dev tool writing scalable apps as you supervise code being written. Research project exploring how GPT-4 can generate fully working, production-ready apps. Main idea: AI can write most code for an app (maybe 95%) but the rest 5% requires a developer until full AGI.
GPT-based autonomous agent performing online comprehensive research on any topic. Produces detailed, factual, and unbiased research reports. Offers customization for focusing on relevant resources, outlines, and lessons. Addresses speed and determinism issues through parallelized agent work. Inspired by AutoGPT and Plan-and-Solve paper. Uses planner and execution agents - planner generates research questions, execution agents find related information.
Conversation with selected files without embedding or vector database. AI Prompt Storybook for managing AI presets with teams. Supports any IDE and language developer. Provides CLI for web and VSCode extension, Jetbrains plugin coming soon. Privacy-first with all data local. Supports OpenAI and Anthropic (Claude-2). Multi-language support.

Graph-based framework for LLM-based agents providing two high-level features: building agents from graphs and enabling customized automatic self-organization of agent swarms with self-improvement capabilities. Unifies diverse prompt engineering techniques by describing LLM agents as computational graphs. Each node implements a function to process multimodal data or query LLMs. Each edge describes information flow. Features automatic graph optimizers for node-level prompt refinement and agent orchestration improvement through graph connectivity changes.

LangChain-based platform for building, debugging, and deploying collaborative agents and cognitive workflows. Includes tools to build and deploy agent fleets that collaborate to complete tasks. Both editor and runtime - no-code graph style editor for designing agents, chains, tools, retrieval functions, and collaborative workflows. Features horizontally scaling agent worker fleet, multi-user multi-agent chat interface, smart input with @mentions and file references, Chroma and other vector database support, and supports OpenAI API, Anthropic, PaLM, and LLama models. Powered by LangChain with easily extended component library.

System connecting LLMs with ML community. Task Planning: ChatGPT analyzes user requests to understand intention and disassemble into solvable tasks. Model Selection: ChatGPT selects expert models from Hugging Face based on descriptions to solve planned tasks. Task Execution: Invokes and executes selected models, returning results to ChatGPT. Response Generation: ChatGPT integrates all model predictions and generates responses.

Intuitive, lightweight, extensible and principled Python framework to easily build LLM-powered applications. Set up Agents, equip them with optional components (LLM, vector-store, methods), assign tasks, and have them collaboratively solve problems through message exchange. Multi-Agent paradigm inspired by Actor Framework. Fresh take on LLM app-development with simplified developer experience - does not use Langchain. Works with most commercial/remote and open/local LLMs. Supports multi-agent, multi-LLM systems, OpenAI function-calling and native ToolMessage. Batteries-included with vector-databases for RAG, caching, logging. Specialized agents available: DocChatAgent, SQLChatAgent, TableChatAgent.
Plan-Validate-Solve (PVS) Agent for accurate, reliable and reproducible workflow automation. Standalone supervised Plan and Solve Agent specialized in read and write operations on tools like GitHub, HubSpot, or Airtable. Separation of tasks with human-in-the-loop interactions: holds Planner and Solver Agents for focus and accuracy. Asks for approval at relevant workflow steps. Unlimited configuration options for workflow definition including permission prompts and custom actions. UI flexibility with any interface or built-in CLI. Model and framework agnostic operations.

Minimalistic library for building agents leveraging large language models to automate tasks through command loops and tool integrations. Executes Python code in REPL environment, conducts Google and Hacker News searches. Iterates through Thought, Action, Observation, New Thought cycle based on tool output. Dynamically appends information to prompts for informed agent decision-making.
No-code platform to build LLM Agents, workflows and applications with your data. Supports all major model providers including OpenAI, Cohere, Stability AI, and Hugging Face. Build generative AI agents like AI SDRs, Research Analysts, RPA Automations without code. Connect agents to internal/external tools, search web, or browse internet.

Chat with documents without compromising privacy. LocalGPT is an open-source initiative that allows you to converse with your documents without compromising your privacy. Inspired by privateGPT, allows using your own documents as an information source. Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. With everything running locally, you can be assured that no data ever leaves your computer. Dive into the world of secure, local document interactions with LocalGPT. Model: Vicuna-7B. Using InstructorEmbeddings. Both Embeddings as well as LLM will run on GPU. It also has CPU support if you do not have a GPU. Built with Langchain.

Modular and extensible Python package reimplementing Auto-GPT framework. Supports GPT-3.5-turbo and GPT-4 with plug-and-play API. Features easy integration of new capabilities from Python code without config files, minimal prompt overhead for token efficiency, human-in-the-loop course correction, and full state serialization enabling agent state saves including memory and tool states without external databases.
Multi-agent generation framework creating extensive unbounded outputs like entire codebases or books from single input prompts. Achieves state-of-the-art generation for large codebase tasks ranking top 3 in HumanEval coding benchmark. Detects invalid code and failing unit tests with automatic error correction. Maintains complete file-store memory enabling LLM agents to read/write files. Follows exact prompt programs bypassing fixed context token limits through iterative generation. Published at ICLR 2024.
Codebase agent running automatically on new issues and pull requests. Core features include labelling, assigning, and answering questions. Can search entire codebase, spin up sandbox to run scripts, and write basic code. Natural-language workflow automation for GitHub repositories.

Full-suite model-agnostic AIDE (AI Development Environment) for creating, deploying, scaling, and monetizing AI agents and prompt chaining. Enables building systems like BabyAGI within an hour. Features real-time graph execution visualization, thought process observation, and flow understanding. Built specifically for rapid cognitive architecture development and scalable event-driven autonomous agents. Visual development of autonomous agents.

Open-source hybrid AI search engine delivering instant accurate answers from Internet, bookmarks, notes, and docs. Features one-click Chrome bookmarks sync and indexing, multiple traditional search engine source support, self-hosted super fast serverless vector database, self-hosted local embedding and rerank service, full open-source code, and one-click production deployment.

System intelligently managing different memory tiers in LLMs to effectively provide extended context within limited context window. Features chat with local files or SQL database, and creates perpetual chatbots with self-editing memory capabilities. Hierarchical memory architecture for enhanced context management.
Command-line AI coding assistant that coordinates edits across multiple locations and files. Unlike Copilot, handles multi-file edits. Unlike ChatGPT, already has full project context without copy-pasting. Direct command-line integration for coding tasks.

Multi-agent framework that from one-line requirement returns PRD, Design, Tasks, or complete Repo. Assigns different roles to GPTs forming collaborative software entity for complex tasks. Outputs user stories, competitive analysis, requirements, data structures, APIs, documents. Internally includes product managers, architects, project managers, engineers. Provides entire software company process with carefully orchestrated SOPs. Core philosophy: Code = SOP(Team). Incorporates efficient human workflows as meta programming into LLM multi-agent collaboration.

Minimal general-purpose autonomous agent based on GPT-3.5-Turbo/GPT-4. Can analyze stock prices, perform network security tests, create art, and order pizza. Combines robust prompt with minimal toolset, chain-of-thoughts, and short-term memory with summarization. Features inner monologue and self-criticism capabilities.

Implementation of paper 'Improving Factuality and Reasoning in Language Models through Multiagent Debate'. Treats different instances of same language models as 'multiagent society' where individual instances generate and critique each other's outputs. Final answers after this procedure show improved factual accuracy and better reasoning question solving. Demonstrates quantitative improvements in multiple domains of reasoning and factual validity.

Experimental open-source attempt at fully autonomous GPT-4 where multiple expertGPTs collaborate on tasks. Each expert has own short and long-term memory with inter-agent communication abilities. Features include task setting with expert collaboration, internet access for searches, memory management, GPT-4 instances for text generation, access to popular platforms, and file storage/summarization with GPT-3.5.
Generates unit tests specifically targeting code vulnerabilities using mutation testing engine, unlike copilots that blindly generate tests. Boosts developer productivity by targeting exact code weaknesses. Supports all major languages, local or CI/CD integration, and works with your own LLM APIs for privacy. Open-source AI for accelerating developer productivity and code security.
Natural Language-Based Societies of Mind featuring societies and communities of agents including LLMs, NN-based experts, APIs, and role-players all communicating in natural language. Agents solve tasks through collaborative 'Mindstorm' process involving mutual interviews. Modular architecture for easy component addition. Based on Marvin Minsky philosophy: intelligence stems from vast diversity, not single perfect principle.

Open Platform for Language Agents in the Wild serving as ChatGPT Plus replica for researchers, developers, and general users. User-centric with Chat Web UI, productive agents, and online demo. Fully open-sourced full-stack solution with easy deployment. Extensible supporting multiple LLMs, tools, and agent methods.

Open-source AGI R&D platform enabling agents for benchmark and open-ended tasks. Powered by GPT-4, Vicuna, LLaMA, Flan-T5. Supports multi-modality (text, image, video, audio) tool learning and task solving. Features linear and non-linear task decomposition, benchmark and open-ended task solving, easy evaluation protocols, and RLTF (Reinforcement Learning from Task Feedback) for continuous self-improvement.

Open-source project born from desire to replicate, enhance, and innovate beyond original Devin model. Engages open-source community to tackle Code LLM challenges in practical scenarios, producing works that significantly contribute to community and pave way for future advancements. Motto: 'Code Less, Make More'.
Open-source interpreter letting LLMs run code on your computer to complete tasks. Runs locally enabling tasks like PDF summarization, dataset visualization, and browser control. Works through ChatGPT-like terminal interface.
Development toolkit streamlining prompt design, version management, publishing, collaboration, troubleshooting, and observability. For technical and non-technical users. Features centralized prompt management, streamlined design/publishing/versioning, detailed execution history with stats (duration, costs), retroactive troubleshooting with time travel, cost transparency, and 90% code overhead reduction via Pezzo Client.
Tool for completely private document interaction without internet connection. Built with LangChain, GPT4All, LlamaCpp, Chroma, and SentenceTransformers. Test project validating feasibility of fully private question-answering solution using LLMs and vector embeddings. Not production-ready.
Personalized AI assistant decomposing problems and offering solutions with Agent actions for workflow automation. Helps users reach solutions through categorical request decomposition, features dynamic UX/UI avoiding prompting, supports voice input, provides query results with action automation, and remembers preferences for choice optimization. Powered by Langchain with decomposable async prompts, vector DB, Redis cache. Built with Flutter/Dart, connected to Zapier NLP.

Experimental autonomous agent using GPT-4 to generate and compose React components from user stories. Stack includes React, TailwindCSS, TypeScript, Radix UI, Shandcn UI, and OpenAI API. Takes user story text and generates multiple React components for relevant screens based on atomic design principles.

Enables multimodal models to operate computers using same inputs/outputs as human operators. Model views screen and decides series of mouse and keyboard actions to reach objectives. Autonomous computer control through visual understanding and action planning.

Your own junior developer deployed in seconds via E2B. Human-centric coherent whole program synthesis. Features 200 LOC (half English), 100k context for summarizing content and codebases, markdown as prompting DSL, copy-paste errors/curl output as prompts, CSS animation by description. GPT-4 significantly better than GPT-3.5/Claude for codegen. Allows develop, debug, and decompile.

VS Code extension that automatically writes and imports Node.js functions eliminating context switching. Open-source function collection where you explain what function should do and AI builds it. No more documentation hunting or ChatGPT back-and-forth. Pure functionality within your code.

Tool for creating agents without coding, simplifying LLM Agent configuration and production deployment. Built with zero third-party dependencies to proprietary tech. Features built-in memory, document retrieval via vector DBs, powerful tools, webhooks, cron jobs. Supports action agents and plan-and-execute agents.

Open-source autonomous AI framework enabling development and deployment of autonomous agents. Features agent provisioning/spawning/deployment, tool-based capability extension, concurrent agent execution, GUI, action console, multiple vector DBs, multi-modal agents, trajectory fine-tuning, performance telemetry, optimized token usage, memory storage, looping detection heuristics, and resource management. Open source framework with closed-source infrastructure.

Research on playing imperfect information games with Theory of Mind aware GPT-4. Paper delves into GPT-4's learned knowledge applicability for imperfect information games. Demonstrates agent capabilities in games requiring hidden information reasoning.

Open-source Devin alternative achieving 12.3% on FULL SWE-bench (vs Devin's 13.84% on 25% of test set). Works through specialized terminal allowing file opening/scrolling/searching, line editing with syntax check, and test writing/execution. Custom-built interface critical for performance. Uses Agent-Computer Interface (ACI) constraining commands to run/look/edit code and submit to GitHub. Code undergoes linter checks with feedback loop. Reads 100 lines at a time for better LM comprehension. Released by Princeton NLP team.
GitHub assistant helping fix small bugs and implement small features. Install via button, add repository, create ticket (e.g. writing tests), prepend with 'Sweep:' and let Sweep handle the rest. Automated code generation and pull request creation.
Full browser automation using GPT-4 to control browser and perform repetitive actions. Allows ad-hoc instruction definition. Future support for saved and scheduled workflows. Early stage with waitlist access.

BabyAGI-inspired agent with infinite memory recall that thinks before acting and persists memory after shutdown. Uses GPT-4, OpenAI, and Pinecone for memory persistence. Process: vectorizes queries, searches relevant memories, thinks about actions, stores thoughts, generates outputs, and stores query-answer pairs. Memory lives on Pinecone with index counter for persistence.

UI-Focused dual-agent framework by Microsoft fulfilling user requests on Windows OS by seamlessly navigating and operating within individual or spanning multiple applications. Native Windows application control and automation.
Open-source Python-based AI SQL agent trained on your schema writing complex SQL in seconds. AI-driven BI assistant using LLMs via Retrieval-Augmented Generation. Two-step process: train RAG model on data, then ask questions returning SQL queries auto-running on database. Accuracy tied to training data volume. Database contents never sent to LLM - only schemas, documentation, queries. Model continuously improves with usage through training data augmentation.

LLM-powered embodied lifelong learning agent in Minecraft continuously exploring world, acquiring diverse skills, and making novel discoveries without human intervention. Three key components: automatic curriculum maximizing exploration, ever-growing skill library of executable code for complex behaviors, and iterative prompting mechanism incorporating environment feedback, execution errors, and self-verification. Interacts with GPT-4 via blackbox queries bypassing fine-tuning need.

AI-powered platform for writing and deploying smart contracts directly to EVM-compatible blockchains. Enables users to connect their wallets for manual contract deployment, supports account abstraction for Web2/3 users without dedicated web3 wallets using a gas master account, and leverages ChatGPT to interact with and control Web3-GPT functionalities.

Multi-agent simulation library designed to simulate and optimize systems with multiple interacting agents. Features easy creation of grid and non-grid environments, custom objects through subclassing, spawner for random object generation, rigid body physics, agent behaviors including pathfinding, wandering, and vision range, automatic maze generation, layer integration to convert images to obstacles, and visualization with replay and export capabilities.
GPT agent framework for invoking and integrating APIs, similar to AutoGPT and LangChain. Accepts a directive and array of APIs, then converses with AI until the directive is complete. Supports research tasks, web crawling, service ordering, and any API representable with OpenAPI files. Features OpenAI's function invocation for faster, more cost-effective, and reliable API chaining.

AI-powered data assistant providing natural language interface to databases, retrieving results and insights without SQL coding. Built on four principles: explainability with accurate SQL generation, interoperability across multiple data sources with standard interface, interactive dialogue for query clarification and refinement, and continuous learning from user interactions and feedback.
Open-source experimental LLM-driven autonomous agent that automatically solves various tasks. Features emergence and autonomy transcending biases, safe execution in docker environments, expert-knowledge-free operation, user-friendly GUI and command line interfaces. Implements dual-loop mechanism with outer-loop for plan management and inner-loop for ReACT-based execution. Includes integrated tools: file editor, Python notebook, web browser, and shell.

Agent-Builder Agent capable of designing, coding, and debugging its own tools. Built on LangChain framework for building, prototyping, and deploying AI-powered tools and agents easily. Features interactive command line interface for real-time feedback, session persistent memory for data preservation across sessions, and quick installation via pip. Designed for users of any technical background.

Swift port of BabyAGI, an AI-powered task management system using OpenAI and Pinecone APIs to create, prioritize, and execute tasks. Creates tasks based on previous task results and predefined objectives, enabling autonomous goal-directed behavior in Swift applications.
Platform empowering businesses with secure, people-centric autonomous AI agents. Focuses on enhancing business operations through AI-driven automation while maintaining security and human-centered design principles.
Machine learning research and product lab building general intelligence to enable humans and computers to work together creatively. Developing AI teammates that understand goals in plain language and turn them into actions on everyday software. Building machine learning models that can interact with everything on your computer.

Platform providing specialized AI agents for company analysis, regulations monitoring, and search operations. Features multiple dedicated agents including Global News Radar for news monitoring, Company Identification for business analysis, EU Policy Watch for regulatory tracking, Report Agent for document analysis, Scientific Knowledge Agent for research, and Patent Analysis Agent.

AI-powered personal assistant offering comprehensive productivity support including email writing, calendar scheduling, and internet browsing capabilities. Serves as a versatile AI companion for daily task management and communication.
AI code interpreter and AI-powered modification of Visual Studio Code. Scans codebases to identify root causes, makes fixes automatically, and auto-generates tests to evaluate bug resolution. Currently available for JavaScript and TypeScript with new features in development.
No-code platform for building AI agents without programming knowledge. Users can select templates and adjust them using a no-code editor to match their specific needs. Designed for productivity enhancement through customizable AI agent creation.

Browser-based studio for managing prompts, building tools, and testing AI agents. Features built-in short-term and long-term memory management, one-click deployment, and embeddable Web SDK for integration anywhere.

Developer-centric AI assistant for building internal UIs and workflows. Turns APIs, SQL queries, and scripts into apps for entire teams. Converts SQL queries, JavaScript/Python code, and HTTP requests into executable tasks accessible through a no-code dashboard. Supports customer support operations, on-call runbooks, and scheduled tasks.
AI agent designed for business intelligence research. Breaks down high-level research questions into step-by-step plans and executes them using diverse tools including a full web browser. Accesses internet information without API requirements. Extracts relevant information from trusted sources rather than generating AI content, then clusters and processes it into user-friendly formats.
Proprietary no-code multiple autonomous AI agent platform for integrating API endpoints. Connects software companies to facilitate global connectivity by addressing major pain points in software development. Agents instantly integrate API endpoints in three simple steps, completing within minutes tasks that traditionally take hours, days, weeks, or months.

Y Combinator company creating human-like digital workers called Artisans with unique faces, names, memories, and skills. Artisans integrate alongside human teams and continuously improve to mold to each company's needs. Ava, the first Artisan, automates the entire outbound sales process including TCP creation, prospecting with database of over 270 million contacts, crafting bespoke email sequences, and booking meetings.

Answer engine that compiles search results into concise, distraction-free webpages. Offers multi-modal answers with citations from top web creators, eliminating link sifting, cookie consents, and ads. Supports using the internet as data source, creating personal libraries, or both. Features creative mode for writing and coding tasks.
Web platform for deploying and managing autonomous AI sales agents that close small deals with superhuman-like performance. Agents autonomously move leads through the pipeline, contact and qualify leads, prepare proposals, handle objections, negotiate, and close deals. Learns about products and manages the entire sales process end-to-end.

ChatGPT for SQL databases, enabling users to connect databases and chat with data without writing SQL queries. Natural language interface for exploring and visualizing database information through conversational interactions.
AI-native analytics platform designed to accelerate analytics workflows for enterprise teams. Offers both co-pilot and auto-pilot modes, learning users' workflows to enable autonomous execution with confidence. Supports querying data, generating visualizations, analyzing enterprise data, and codifying workflows for data-driven decision-making.

Platform for building autonomous AI agents that scrape news, fetch real-time data, and write Python code to calculate portfolio risk exposures. Agents can be deployed to work around the clock, automating financial analysis and portfolio management tasks that would otherwise require manual effort.
AI agent platform for automating repetitive business tasks and workflows. Streamlines productivity and sales operations through intelligent automation of routine activities.

End-to-end process and workflow automation platform with intelligent AI agents. Serves multiple B2B2C use-cases across healthcare, insurance, logistics, customer service, and other industries. Allows businesses to customize automations or choose from existing agent templates to minimize execution time for complex tasks, repetitive tasks, and back office operations.

Coding LLM designed to transform software development. Goals include accelerating innovation by making engineers 10X faster in building and releasing products, and accelerating software engineer growth worldwide from approximately 100M to 1B engineers. Features code interpreter, terminal access, and browser integration.
AI assistant that makes sense of business data stored across siloed SaaS platforms. Reveals insights, understands variations, and identifies customer patterns without technical effort. Adds an intelligence layer connected to all your SaaS tools including Hubspot, Google Analytics, Stripe, and more. Helps Sales Ops, Marketing Ops, and growth teams make better decisions.

Local native app for building custom AI agents that remember, learn, and work together on your PC. Features include privacy-focused local operation, multimodal understanding of text, voice, and images, reactive responses to user-defined events with real-time data, autonomous background operation, sandboxed file collaboration, multi-LLM support combining local and cloud models, and extensible custom tools and scripts.

No-code platform helping non-technical people build AI products in minutes. Faster and more flexible than traditional no-code tools through LLM-powered conversational interface and agent architecture automating complex backend/workflow operations. Features include conversational interface, LLM/AI model connectors for text and image models, bespoke chatbot creation, UI component rendering, and external data API connections.

Tool for creating fully-functioning, ready-to-launch websites in 20 seconds without coding. Features include user-friendly interface, full SEO optimization, picture upload with unlimited customization, profile customization with social media links and contact details, instant preview of changes, and 30% faster website generation speed compared to traditional tools.
Autonomous AI assistant for getting things done with autocomplete capabilities. Enables sharing useful workflows with team members and scheduling AI-powered recurring workflows. Features granular data controls ensuring company data security with fully configurable role-based access.

AI-powered assistant featuring private AI knowledge base for increased work efficiency, 24/7 customer support through website chat widget, and 100+ unique AI tools for business, work, and study needs including AI writing assistant and WordPress auto poster. Supports multiple file formats (pdf, doc, ppt, xls, csv, json, epub, mp3, images), YouTube transcripts, Yelp review analysis, and 175+ languages.

AI personal shopper that discovers interesting and cool products matching user preferences. Learns taste over time to deliver increasingly personalized results. AI shopping assistant for e-commerce and general shopping needs, continuously improving recommendations based on user interactions.

AI web scraper that searches and browses the web to find information, replacing significant amounts of manual work SDRs perform on account research. Automates data gathering and summarization from web sources for sales, marketing, and business intelligence purposes.

AI assistant for GitHub projects that creates entire features and fixes bugs on complex repositories from text descriptions. Handles GitHub issues and pull requests autonomously, translating natural language requirements into working code implementations.

AI agent powered by GPT-4 that automatically solves tickets, writes tests, and levels up development workflows. Handles coding, debugging, code migration, and other development tasks autonomously to enhance productivity.
AI agent for faster WordPress development with domain-specific AI modes, tools, and features. Specialized in WordPress-specific coding tasks and optimizations to accelerate website development.
Coding multipurpose AI assistant for developers. Generating meaningful tests for busy devs. Exploring and analyzing your code, docstrings, comments, and by interacting with you. Non-trivial tests (and trivial, too!) suggested right inside your IDE. Generates tests, Covers edge cases, Best practice, readability code suggestions, Gives you the code explanation. It is free.
Career Copilot and AI Agent for SW Developers. Comprehensive job search. Accurate job recommendations based on your skills, experience, and preferences. AI-powered auto-applications.
Web-based version of AutoGPT or BabyAGI with friendly UI for building AI agents. Provides accessible interface for autonomous agent creation and deployment focused on general purpose tasks and research.
Agentic AI platform for achieving complete test coverage in software development. Automates software testing processes through intelligent agents that ensure comprehensive quality assurance.
AI-first code editor designed for pair-programming with AI. Build software faster in an editor with VSCode-like interface optimized for AI collaboration. Seamless integration of AI assistance directly into the development environment.

AI co-pilot model that interacts with any UI, website, or API in response to natural language commands. General purpose personal assistant for helping with daily tasks through universal interface interaction capabilities.

The first AI software engineer. Devin is in early phase now, but according to demo, it has the following capabilities: Can learn how to use unfamiliar technologies. Can build and deploy apps end to end. Can autonomously find and fix bugs in codebases.
AI-powered design tools for everything from copywriting to generating unique icons from text. Features Magic Copy for writing, editing, and rewriting Figma text layers with real copy, image generation within Figma, and Magic Rename for intelligent layer naming. Works directly inside design tools like Figma, providing latest AI design advancements in one convenient plugin.
Personal AI Sales Engineer empowering Account Executives to win more deals. Provides instant sales answers, automated RFP responses, and insights from top producers. Powered by Sales Knowledge Lake that unifies company sales data with generative AI, transforming sales productivity and win rates.
AI teammate living in GitHub repositories, helping respond to issues within minutes in users' native languages, triaging bugs, and building better documentation. Documentation wizard that reminds you to update docs, helps write them, and answers questions about external code as if sitting next to the author. Monitors open issues, resolving missed ones and deprecating those no longer relevant.
Virtual assistant for chatting with Data Warehouses (Snowflake, BigQuery, RedShift, Postgres) or Semantic Layers (Looker, dbt, dotML). Answers most business questions instantly 24/7, allowing data teams to focus on deep work instead of answering easy questions about dashboards.

Platform for managing team of AI software development companions called Ducklings that complete end-to-end feature development from design to implementation. Ducklings chat with users to define goals, create engineering designs, and generate code. Engineers work alongside Ducklings to get development work done efficiently.

Previously BitBuilder - automated code reviews and bug fixes. Enables creating issues, approving implementation plans, and reviewing pull requests. Features include writing code, reviewing changes, addressing comments, and answering questions.

Fully autonomous AI software engineer in early stage development, currently in alpha. Works with you and your team to get work done, providing autonomous code generation and development assistance.
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Coding droids for building software end-to-end. In alpha stage. Not just another coding copilot like GitHub Copilot or Codeium, but autonomous agents capable of autonomously building software from end to end.

Build software with AI agents. Deploy, manage, and run AI agents that serve as your virtual teammates. Built for teams, with organizational memory and collaboration in mind. Privacy oriented, we don't store your code, everything runs locally. Multiagent platform: Build your own custom agents.
No-code platform for agents (Pivoted to Synthflow). With Fine-Tuner, you can build sophisticated, tailored AI agents at scale without any need for technical skills or coding. Just bring your data and ideas, and we'll provide the toolset you need to transform them into powerful AI solutions, capable of handling vast amounts of data and users. Take advantage of our scalable platform to meet your growing needs with ease and efficiency. Connecting your chatbot to your app. FineTuner.ai is a no-code AI platform that enables users to create and deploy custom AI agents and components without any coding. With an intuitive UI/UX and rapid API deployment, FineTuner.ai simplifies AI development, allowing users to focus on their unique use cases and ideas.

Platform for creating LLM-powered AI applications. Building and managing LLM powered applications. A cloud-based platform-as-a-service that allows developers to build smart agents that couple LLMs with back-end logic to interface to data, systems, and tools.

Executive agent automating communication busywork. Works across all your communication and work tools: emails, social media DMs, calendar, Notion, etc. Adapted to your work habits. Ask your assistant to craft messages, auto-sort, auto-schedule, summarize, extract tasks and information.
AI-powered software developer by GitHub. AI pair programmer with chat and terminal interfaces. Support for pull requests and early adoption of OpenAI's GPT-4.
AI for every step of software development lifecycle. A suite of AI-powered capabilities for DevSecOps workflows. A toolbox of features integrated into the DevSecOps Platform to help teams across the entire software development environment become more efficient. Examples of what GitLab Duo can do include planning refinement, security risk resolution, CI/CD pipeline health, and analytics charting.

Automate code generation with AI, currently in beta version. GitWit uses a GPT-based agent to generate code and git to track changes made to files. GitWit ties together large language models and modern developer tools. It can spawn and modify codebases using just a single prompt. GitWit is primarily aimed at full-stack developers, and is particularly loved by those with a learning mindset—such as those learning a new stack or technology. It is in early beta and may require some experimentation with the prompts you enter. You are offered to choose from code bases: React + NextJS, Python using pip, A Chrome extension written in JavaScript, An AngularJS using npm, Custom stack.

Multimodal content creation autonomous agent. GoCharlie is a multimodal content creation autonomous agent.
API-first data platform for building AI applications, built on serverless, cloud-native infrastructure. Simplifies complex data workflows including data ingestion, knowledge extraction, semantic search, alerting, and application integrations.

Automating code migrations and dependency upgrades. Grit uses machine learning and static analysis to auto-generate pull requests for cleaning up technical debt. Users can declare how they want their code to be structured and let Grit rewrite it for them.
Platform for building and hosting LLM-powered automations across any workflow. Previously called AgentHub. Features growing library of nodes, drag-and-click data connections with no code required, sandbox testing environment, and flexible sharing controls. Automates workflows across productivity, marketing, legal, sales, HR, finance, and education sectors.
For course creators, community builders & coaches. Heights AI Chat can make edits to your digital products, answer support questions, and provide advice on growing your business. Heights AI Coach is your personal autonomous coach, helping you accomplish your unique goals. Your AI coach will ask you questions and analyze the products you create to provide you with new tasks and recommendations every week. Information you share with your AI Coach will never be shared with another creator's AI Coach. Any information submitted will never be used for AI language model training data.

AI tools for doing amazing things with data. 'A suite of powerful AI features meant to augment data people'. Hex can explain and document your code. Hex Magic features know about database schemas, past operations, and the project's execution graph, so they can make deeper, more insightful recommendations.

Keep you on top of your calendar, tasks and info. Personal assistant for life: to keep you on top of your calendar, tasks and information. Currently in a beta version.
An advanced AI personal assistant designed to automate browser-based tasks from start to finish with deterministic execution. Unlike traditional solutions that generate text instructions or fail midway, iMean delivers actual results by completing entire workflows autonomously.

An AI-powered coding assistant that functions as a collaborative teammate. Enables teams to work with AI agents that autonomously complete tasks and push code directly to GitHub. Supports team collaboration by allowing multiple members to work alongside AI assistants.

Terminal env for interacting with with AI agents. Enables users to create and instruct modular AI agents, generate document indexes for question-answering, and attach tools to agents for enhanced functionalities. Facilitates coding assistance and conversational capabilities through predefined agents, along with the option to design custom agents, all within a keyboard and mouse-friendly terminal interface. Provides secure execution environments for agents through Docker containers, allowing for safe and private operations, along with an integrated developer console for debugging and introspection.
A comprehensive platform for building autonomous AI agent teams that function as autopilots rather than mere copilots. Features synchronized knowledge bases integrating Notion, Google Drive, URLs, and various file types. Agents self-improve through interactions and can be deployed across multiple channels including Zendesk, Slack, and Discord. Supports LLM-agnostic architecture with models from OpenAI, Google, Mistral, and Anthropic.

AI data processing, analysis, and visualization. Chat-powered data analytics and AI agents, all in a notebook interface. Allows to answer any question about users' data with a single prompt. An intelligent data analyst tool that interprets, analyzes, and visualizes complex data in an intuitive, user-friendly manner. 'Jupyter Notebooks on steroids'.
Web scraping on autopilot with AI. Using LLMs to generate web scrapers and data processing steps on the fly that adapt to website changes. Features include: no coding or browser extension required, autonomous crawling agent efficiently locates desired information on websites, adaptability to website changes makes it maintenance-free, transforms data from multiple sources into the same structure, handles all clicking and scrolling automatically, handles proxies, and powerful integrations.

AI-led user interviews for rich human insights. Meet Juno! An AI-moderated research platform that conducts research and collects human insights. It's unsupervised, multilingual and autonomous. Trained by veteran researchers, Juno empowers everyone to conduct in-depth qualitative research, without prior experience. LLMs/model providers supported: OpenAI.

An advanced AI assistant platform designed to enhance team productivity through simultaneous multi-task processing. Outperforms ChatGPT Pro in response speed using Microsoft Azure's OpenAI Service. Supports multiple models including gpt-4-turbo, gpt-4-vision, gpt-3.5-turbo, Gemini, Claude 2, and open-source models. Features a 128K token context window enabling retention of up to 512,000 characters of conversation history. Prioritizes data security with strong encryption and regular data cleanup.
An AI-powered testing automation platform that instantly generates and executes comprehensive test suites for APIs, enabling crash-free releases. Works with Postman collections to create exhaustive test coverage, provides AI-analyzed results in a single click, and auto-runs relevant test suites at any CI/CD pipeline stage. Saves hours of manual testing effort by delegating API testing to autonomous agents.

AI-powered voice agents designed specifically for recruiting and hiring processes, automating candidate interactions and streamlining recruitment workflows.
AI assistant that can help with daily tasks. Lindy is still in a beta version. Features: Lindy triages your email, she learns from your inbox and automatically surfaces the highest-priority emails for you, automatic conflict handling, daily briefing, contract management, meeting note taking, and summarization.
A conversational platform for creating personalized AI workflows and applications. Lutra understands user goals through dialogue, then generates code to produce specialized AI agents for various tasks. These code-based workflows ensure secure and reliable execution with data protection. Use cases include personalized daily newsletters with tailored news summaries, automated email categorization, and public information collection for meeting preparation.
The fastest way to automate nearly any task by combining generative AI with code. Accessible to non-programmers for setting up repeatable tasks and automated workflows with ease. Simplifies complex automation through an intuitive interface that bridges AI capabilities with traditional programming.

Generate and edit HTML components with text prompts. Makedraft is an AI that generates frontend code based on your instructions. You can then copy the HTML to any project. You can generate HTML templates with text prompts or highlight the code you want changed and instruct the AI on what to change. Makedraft also generates Javascript, as well as Alpine.js. Vue.js is coming soon. Makedraft will be introducing a Showcase for people to see Showcase projects. Makedraft is currently in open beta and is free to use. A Pro plan will be available soon. Users who subscribe to the Pro plan will have have their generated projects set to private by default.

Empowers non-technical teams to automate recurring workflows requiring data analysis, API connections, and action execution. Using plain English, teams can train Manaflow agents to interface with multiple third-party applications simultaneously, host custom APIs, conduct customer interviews, build persistent data dashboards, run custom ML models, and execute business actions autonomously.

By creator of GitHub Copilot, currently in waitlist stage. By creator of GitHub Copilot, in waitlist stage.

Book a flight or order a burger with MultiOn. The agent runs and controls the local Google Chrome, which allows it to interact with the world/services/web apps, just like people interact with the world/services/web apps using Google Chrome. The agent itself probably also runs locally and currently, it needs the local Google Chrome to function. Our understanding from the demo video is that they use local code and a custom plugin in ChatGPT to control a web browser (e.g., Google Chrome). This setup enables MultiOn to perform tasks like ordering plane tickets as if a human were interacting with the browser directly. Use cases: A lot of cool real use cases, e.g., Sending an email fully autonomously, Posting a tweet, Sending a tweet reply to a specific person with a specific message, Sending a Facebook message to a friend, Searching for vacation rentals and check pricing for an upcoming trip, Searching for a wedding venue and starting the wedding planning process, Scheduling a car wash. After introducing the GPT function calling, MultiOn can call itself recursively to spawn more sub-agents. Instead of calling multiple functions or APIs you just need one Universal Function that can interact with all services and have it call itself to accomplish more complex tasks in parallel.

AI-accelerated software development. Features: AI Autocomplete, Production Quality Code with One Click, Prompt driven development, Test Generation (coming soon).

Build your own agents. In early stage. 'Build your team of AI agents that work for you. Early access now live. Join waitlist.'

A no-code platform enabling anyone to build, fine-tune, and integrate autonomous AI agents. Features a marketplace of over 1,000 ready-made agents and 1,500+ tools. Supports custom knowledge integration from PDFs, PowerPoints, Word documents, websites, Notion, and more. Agents can be deployed directly to websites, WhatsApp, Slack, Teams, and other platforms with one-click deployment.

Chrome extension - general purpose AI agent. Hyperwrite is a chrome app that can take control of your browser and complete high level tasks for you. AI agent that can use a web browser like a human. 'Just describe what you want it to do, and it will automatically operate Chrome to achieve your task.' Examples of use cases: Booking flights, ordering food, researching complex topics, managing your email. Designed to handle tasks from booking flights to conducting in-depth research, and everything in between. Examples of usage: Organize Gmail inbox, Booking a flight, Ordering online, Finding hire candidates.
Personal programming and research AI assistant. Phind is an AI search engine and pair programmer.
An AI SaaS service centered around personal and enterprise datasets, designed to unlock full data potential. Enables natural language interaction with datasets for tasks ranging from simple Q&As to insightful BI analysis. Breaks down barriers to knowledge acquisition and data analysis, boosting data processing efficiency exponentially.
Interaction APIs and SDKs for building AI agents. An end-to-end solution, with which it takes 3 minutes not weeks to get a user-facing agent up and running in your app (currently 3 SDKs including React). Powerful tools built into the admin dashboard and Admin API including analytics, monitoring, rate-limiting, content moderation, etc. Minimizes or eliminates the need for custom backend infrastructure so you can focus on implementing the business logic. Technology-agnostic solution that supports multiple LLM providers (currently 7 models from OpenAI and Anthropic) allowing you to easily switch between models with 1 click. Ready-to-use, highly customizable and beautiful UI components rendering complex interaction trees with support for advanced features like streaming.
Build tailor-made generative AI agents, applications, and chatbots without coding experience. Seamlessly integrate custom data and GPT-powered models. Supports all major model providers including OpenAI, Cohere, Stability AI, and Hugging Face. Features embeddable widgets for website integration and supports diverse data sources including Web URLs, Sitemaps, PDFs, Audio, PowerPoints, Google Drive, and Notion imports.

A ChatGPT-like AI workforce operating within Slack workspaces for under-resourced SMEs. Provides secure, shareable assistance without storing or learning from user data. Can read various URL types and files on-demand, including authenticated sources like Google Workspace Apps. Ideal for summarizing, evaluating, brainstorming, self-reviewing, Q&A, and more. Supports team-specific rules, guidelines, and templates.

Marketplace for autonomous AI workers with no-code interface. Questflow is a marketplace designed for SMBs to connect with autonomous AI workers. Our platform enables digital workers to discover and deploy AI agents for seamless workflow automation. With a no-code editor, we empower digital knowledge providers to create, distribute, and monetize AI workers. Similar to Upwork, Questflow offers a marketplace where users can utilize AI agents to accomplish tasks across various digital workspaces. Creators have the opportunity to transform their specialized knowledge into AI agents, expanding their reach and generating revenue.

A multi-agent AI builder platform specifically designed for developing GenAI applications. Enables creation and coordination of multiple AI agents working together to accomplish complex tasks.

A fast platform to build and deploy AI apps and agents, serving as the home of the AI Workforce. The AI Workforce is a digital team that assists with mundane and repetitive tasks. Consists of Agents equipped with Tools specific to business operations crafted by domain experts. Provides a single platform to create Tools, equip them to Agents, and deploy as a Multi-Agent System (MAS). Supports OpenAI, Anthropic, Cohere, PaLM, and more.
Digital AI assistant for notes, tasks, and tools. Generating content, Brainstorming ideas, Translation, Grammar check.

Automated migrations and upgrades for your code. Migrate frameworks such as Angular to React, libraries such as Redux to React Context, or languages such as JavaScript to TypeScript. Perform major version upgrades on any number of applications, of any size. Upgrade frameworks such as Next.js 12 to 13, libraries such as MUI 4 to 5, or languages such as Python 2 to 3. Target users: enterprise codebases.
An autonomous agents platform for enterprises that runs inside company secure perimeters, either in cloud or on-premises. Enables safe creation, deployment, and management of Enterprise Autonomous Agents. Provides integrated suite of no-code development tools to build, test, deploy, and manage autonomous agents. Offers robust and efficient agents for critical use cases tailored to organizational needs.

AI assistant, enhance shopping experience. ShopPal: Your Curated AI Shopping Assistant. Curated AI shopping assistant, aiming to enhance and accompany your shopping experience. To enhance and accompany your shopping experience, ShopPal delivers summary insights, tailored recommendations, visual comparisons, and the best deals, which are all personalized just for you!
AutoGPT agents with plugins. 'Delegate your tasks to autonomous AI agents. Transform your daily work with revolutionary and intuitive AI tools powered by GPT4'. Access APIs like Zapier, Wolfram, etc. Open links. Manipulate files. Search web.
AI copilot to your product's data dashboard. Get set up in minutes with the Superluminal React component, or use the API directly for custom solutions. Writes Python code to answer questions and perform tasks, similar to ChatGPT + CodeInterpreter. Fully managed compute infrastructure for the secure execution of generated code. Customize the look and feel to fit your product. Full support for graphs, pivots and filters in addition to textual answers. Enable your customers to extract more value from the data already on their dashboard with meaningful answers to high-level questions.
An AI Data Analyst that works with CSV, Excel, Google Sheets, and SQL databases. Described as 'ChatGPT for Data Analysis', it enables users to generate beautiful visualizations, ask follow-up questions, and refine requirements. Functions as a data analyst that never sleeps and is always available with just a chat interaction.

Platform for creating, training, and running custom AI agents for tasks, automation, and workflows. Features AI Generator for flowcharts, mind mapping, and task management. Includes AI Chat Assistant for interacting with projects and documents through dynamic Q&A and contextual support. Enables crafting AI agents with custom commands, tools, and knowledge to automate specific tasks.
Financial AI agent platform providing a large and growing set of advanced AI agents. Includes Discover agent for accessing search and knowledge bases, Chain of Thought agent for breaking questions into independently addressed parts, Analyst agent for creating real-time financial analysis from DCF to LBO, and Auto Agent for creating entire workflows from scratch. Currently in early access version.

Eliminates the need for writing automated tests or waiting on manual testing. Instruct @testdriverai to test any pull request using natural language. TestDriver performs tests on PRs and sends back video and log recordings of what occurred, streamlining the QA process in GitHub.

An AI engineer that helps product managers ship simple front-end changes quickly, allowing software engineers to focus on more important work. Assign a product ticket to Tusk, and the AI writes, pushes, and tests the code. Use cases include coding, debugging, and code migration. A Y Combinator company.
Makes it easy for enterprises to embed AI agents with real business outcomes. Provides real-time value realization with pre-built agents integrated into ecosystems, offering customized toolkits specifically designed for insurance sales and claims processes.

Get React code based on Shadcn UI & Tailwind CSS. v0 is a generative user interface system by Vercel Labs powered by AI. It generates copy-and-paste friendly React code based on Shadcn UI and Tailwind CSS. Currently in waitlist stage. v0 generates custom components on the fly that you can copy and paste into your existing codebase. Built on NextJS App Router. AI by the Vercel `ai` SDK.
A web-browsing AI assistant that can summarize content, compose content, explain concepts, and create quizzes for learning topics. Still in Beta version. Enables effortless transformation of web content to suit unique needs without leaving the browser. Goes beyond chatbots with a browser-native AI companion that makes browsing more delightful, productive, and streamlined.
An all-in-one platform for deploying LLM applications. Supports multiple models including GPT-3.5, GPT-4 Turbo, GPT-4, GPT-4 Vision, MISTRAL, MIXTRAL, Claude Instant, and Claude 2, providing flexibility in model selection for various use cases.

A privacy-centric Conversational AI platform leveraging AI Agents and supporting both commercial and open-source LLMs to centralize knowledge, enrich collaboration, and facilitate streamlined automation. Empowers users with versatile conversational bots and tools providing insights, knowledge, and data-driven actions. Features seamless integration capabilities, connecting to any database and applications for comprehensive information access.
An experimental AI workspace where you can teach bots to work across 6,000+ apps. Give bots access to company knowledge sources for instant answers, ask them to act in thousands of applications, and teach them once to work autonomously. Everything operates in one unified workspace built on Zapier's extensive ecosystem to automate existing tools.