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Decision brief
Critical facts for LazyLLM
Good fit when
- - When you need a highly user-friendly framework specifically designed for building multi-agent LLM applications, emphasizing simplicity and streamlined installation.
- - If your project requires leveraging deep learning techniques with minimal setup hassles, as LazyLLM aims to provide an ease-of-use experience that competitors might not match.
Avoid when
- - Avoid if you require extensive customization options or a more complex framework; LazyLLM's focus on being the 'laziest' way may mean it lacks advanced or specialized features found in other tools.
- - If you are working with non-Python environments, as LazyLLM is specifically language-oriented towards Python. Users needing cross-language support might not find LazyLLM suitable.
- Pricing:
- freemium - LazyLLM is open-source under the Apache-2.0 license, making it free to use for both personal and commercial projects.
- Requirements:
- Min 8 GB RAM; Installation can be done via pip or from source. No Docker required, but a Python environment is necessary.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 31 low (31 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install LazyLLMHow it fits your stack(2)
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Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LazyLLM is a framework aimed at simplifying the process of creating multi-agent LLM applications, focusing on ease of use through streamlined installation processes.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 8, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 8, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 8, 2026)
pip install -r requirements.txtSource link
Tags
README
pip installation (recommended)
To install only lazyllm and necessary dependencies, you can use:
pip3 install lazyllm
To install lazyllm and all dependencies, you can use:
pip3 install lazyllm
lazyllm install full
Installation from source
git clone git@github.com:LazyAGI/LazyLLM.git
cd LazyLLM
pip install -r requirements.txt
Installation on Windows or macOS
For installation on Windows or macOS, please refer to our tutorial
For agents
This page has a .md twin and JSON over the API.