LazyLLM
Easiest and laziest way for building multi-agent LLMs applications
Última actualización
2026-06-15
GitHub Stars
3,843
Acerca de LazyLLM
Nuestro veredicto
A research agent that is open-source and self-hostable backed by 3.8k GitHub stars. Easiest and laziest way for building multi-agent LLMs applications..
Características
Calificaciones detalladas
Pros y Contras
Pros
- Open-source — fully self-hostable and auditable
- Active community with 3.8k GitHub stars
- Offline (local) model services
- Supports fine-tuning frameworks
Contras
- Requires technical setup; less hand-holding than managed alternatives
- Limited third-party reviews and benchmarks
Casos de uso
¿Para quién es?
Teams and individuals looking for research and information synthesis who value open-source flexibility and control.
Preguntas frecuentes
What is LazyLLM?
[中文](README.CN.md) | [EN](README.md)
How much does LazyLLM cost?
LazyLLM is open-source and free to self-host. See https://github.com/LazyAGI/LazyLLM for installation instructions.
Is LazyLLM open source?
Yes — LazyLLM is open source with 3.8k stars. The source code is on GitHub at https://github.com/LazyAGI/LazyLLM.
Who should use LazyLLM?
Teams and individuals looking for research and information synthesis who value open-source flexibility and control.
Agentes relacionados
Prompt Engineering Guide
A Comprehensive Overview of Prompt Engineering
Ai Agents For Beginners
12 Lessons to Get Started Building AI Agents
Flowcraft
Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a lib
MiroFlow
🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI