LazyLLM
by Community
Easiest and laziest way for building multi-agent LLMs applications.
OSS
LazyLLM
Added 1 June 2026
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.
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
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