Data & Research · GitHub ·3,796 ★

LazyLLM

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

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Details

Author
LazyAGI
Category
Data & Research
Platform
GitHub
Framework
langchain
Language
python
Stars
3,796
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@LazyAGI@lazyllmdocs.lazyllm.aiDiscord

Overview

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

Quick start

git

git clone https://github.com/LazyAGI/LazyLLM

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What LazyLLM can do

frameworkllmragdata
  • Framework — framework task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is LazyLLM?
Easiest and laziest way for building multi-agent LLMs applications.
How do I install LazyLLM?
Use git: `git clone https://github.com/LazyAGI/LazyLLM`. Full setup details on the source page linked above.
Is LazyLLM open source?
LazyLLM is published on GitHub.
What are alternatives to LazyLLM?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for LazyLLM is sourced from GitHub, published by LazyAGI.

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