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LazyLLM

LazyLLM

Easiest and laziest way for building multi-agent LLMs applications

Research Agents Open Source

Last Updated

2026-06-15

GitHub Stars

3,843

Last Updated

2026-07

About LazyLLM

LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization. LazyLLM offers a convenient workflow for application building and provides numerous standard processes and tools for various stages of the application development process. The AI application development process based on LazyLLM follows prototype building -> data feedback -> iterative optimization, which means you can quickly build a prototype application using LazyLLM, then analyze bad cases using task-specific data, and subsequently iterate on algorithms and fine-tune models at critical stages of the application to gradually improve the overall application performance. LazyLLM is committed to the unity of agility and efficiency. Developers can efficiently iterate algorithms and then apply the iterated algorithms to industrial production, supporting multiple users, fault tolerance, and high concurrency. User Documentation: https://docs.lazyllm.ai/ Scan the QR code below with WeChat to join the group chat(left) or learn more by watching a video(right)

Verdict

Easiest and laziest way for building multi.

Features

Offline (local) model services
Supports fine-tuning frameworks
Supports inference frameworks
Supports automatically selecting the most suitable framework
Online services
Supports fine-tuning services

Detailed Ratings

Ease of Use
7.6
Value for Money
8.0
Features
7.9
Support
7.3
Performance
7.9
Overall Rating
7.8 /10

Pros & Cons

Pros

  • Active community with 3.8k GitHub stars
  • Offline (local) model services
  • Supports fine-tuning frameworks

Use Cases

Literature reviewInformation gatheringSummarizationCitation

Who Is It For?

Teams and individuals looking for research and information synthesis who value open-source flexibility and control.

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Frequently Asked Questions

What is LazyLLM?

Easiest and laziest way for building multi-agent LLMs applications.

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.

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Links & Resources

AR Reviewed by AgentRadar · Reviewed on · How we rate

Profiles are AI-assisted from public information — not independently hands-on tested.