GH Repository · LazyAGI
LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
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makeagent-frameworkPythonllmsai-agentdeep-learningdatalangchainragllamaindexlazyllmagentsfinetuningpythonllmframeworkknowlege-graphdocumentation-tool
LazyLLM is a Python framework for building multi-agent LLM applications, positioned as a low-effort alternative to frameworks like LangChain and LlamaIndex. Its repository and tags indicate coverage of RAG, agents, finetuning, knowledge graphs and data tooling, though the material does not detail each capability.
You want to assemble multi-agent LLM applications from a single Python toolchain rather than stitching together several frameworks.
Use it to
- Build multi-agent LLM applications
- Set up RAG pipelines
- Run LLM finetuning workflows
- Work with knowledge graphs
- Evaluate against LangChain or LlamaIndex
For Python developers building LLM agent applications
- Role
- agent-framework
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 414
- Open issues
- 33
- Last push
- 2026-09-14
- Latest release
- v0.1.2 · 2024-06-25
topicsllmagentsragfinetuningframeworkpython