LazyLLM

Overview

LazyLLM is an open-source Python framework for building multi-agent applications powered by large language models. It abstracts orchestration and communication between agents, aiming to reduce boilerplate code and development time.

Best for

Best for
Developers seeking a low-friction way to build and test multi-agent LLM applications

Use cases

• Rapidly prototype multi-agent chatbots or assistants
• Coordinate multiple LLM calls for complex reasoning workflows
• Experiment with agent roles and message passing in research projects

Notes

LazyLLM is an open-source Python framework for building multi-agent applications powered by large language models. It abstracts orchestration and communication between agents, aiming to reduce boilerplate code and development time.

3,839 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Rapidly prototype multi-agent chatbots or assistants
• Coordinate multiple LLM calls for complex reasoning workflows
• Experiment with agent roles and message passing in research projects

Pros

• Simplifies multi-agent setup with minimal code
• Active open-source community with 3800+ stars
• Fully Python-based, easy to integrate with existing Python projects

Cons

• Limited to Python ecosystem (no direct support for other languages)
• May lack fine-grained control for advanced agent behaviors
• Documentation and stability depend on evolving community contributions

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