LLM Agents

Overview

LLM Agents is a Python library for building agents whose behavior is directed by large language models. It provides a framework to define tools and let an LLM decide which tools to call to complete a task.

Best for

Best for
Python developers who want a minimal library to prototype LLM-driven agent workflows.

Use cases

• Building a code-writing agent that uses external APIs
• Creating a research assistant that queries multiple sources
• Prototyping a multi-step reasoning bot for customer support

Notes

LLM Agents is a Python library for building agents whose behavior is directed by large language models. It provides a framework to define tools and let an LLM decide which tools to call to complete a task.

1,042 stars on GitHub. Last updated 2025-06-23. Licensed MIT.

Use cases

• Building a code-writing agent that uses external APIs
• Creating a research assistant that queries multiple sources
• Prototyping a multi-step reasoning bot for customer support

Pros

• Lightweight and focused on the core agent loop
• Simple API that integrates with existing LLM providers
• Active open-source community with 1000+ stars

Cons

• Limited built-in tooling compared to larger frameworks
• No built-in memory or state persistence
• Documentation is sparse for advanced use cases

Indexed from awesome-langchain and enriched against its public facts.