mpaepper/llm_agents

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1053 stars · 85 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A small Python library for building agents controlled by large language models, inspired by LangChain but implemented from scratch in very few lines of code. It runs a ReAct-style loop of Thought, Action, and Observation, using tools like a Python REPL, Google search, and Hacker News search.

Use cases

• build llm-controlled agents
• understand how langchain agents work internally
• run a reAct agent loop with custom tools
• let an llm execute python code and search the web
• minimal agent framework for learning
• implement custom tools for an llm agent

When to choose

• you want to learn how LLM agents work with minimal abstraction
• you need a tiny, readable ReAct agent implementation to extend
• langchain feels too heavy for a simple agent experiment

When to avoid

• you need production-grade agent features, memory, or many integrations
• you want a maintained framework with broad tool ecosystem
• you need multi-agent orchestration or streaming

Facets

library · maturity maintenance

agent-framework llm-inference prompt-engineering artificial-intelligence large-language-models machine-learning python cli llm-agents tool-use react langchain-alternative educational openai ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mpaepper/llm_agents")