
LLM Agents
🔓 Open SourceCoding
Overview
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.
Details
Created by Martin Paepper. Minimalist agent framework. Thought-Action-Observation loop. Dynamic prompt management. Python REPL integration.