Lagent

Overview

Lagent is a lightweight Python framework for building agents that leverage large language models. It provides abstractions for planning, tool use, and multi-turn interactions. The framework is designed for rapid prototyping and experimentation with LLM-based agents.

Best for

Best for
Developers and researchers who want a minimal, hackable foundation for building custom LLM agents.

Use cases

• Prototyping autonomous agents that execute multi-step reasoning tasks
• Building LLM-powered assistants with custom tool integrations
• Experimenting with agent architectures for research or education

Notes

Lagent is a lightweight Python framework for building agents that leverage large language models. It provides abstractions for planning, tool use, and multi-turn interactions. The framework is designed for rapid prototyping and experimentation with LLM-based agents.

2,256 stars on GitHub. Last updated 2026-05-29. Licensed Apache-2.0.

Use cases

• Prototyping autonomous agents that execute multi-step reasoning tasks
• Building LLM-powered assistants with custom tool integrations
• Experimenting with agent architectures for research or education

Pros

• Lightweight and simple to integrate into existing Python projects
• Open-source with active community contributions and transparent development
• Focused design makes it easy to understand and modify for specific needs

Cons

• Limited documentation and examples compared to larger frameworks
• Not yet production-ready; lacks extensive testing and hardened deployment features
• Smaller ecosystem of plugins and community extensions

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