GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
nanobot is a lightweight AI framework that eases integration of various AI models into specific applications such as chatbots and workflow automation.
Good fit when
- When you need to integrate lightweight and open-source AI functionalities in your existing Python projects, especially when leveraging models like Claude or ChatGPT.
- For seamless development where interoperability between different AI tools and workflows is critical to maintain the efficiency of your applications.
Avoid when
- If your project requirements demand a high level of customization and complex functionality beyond simple chatbots and straightforward workflow automation, as nanobot's lightweight architecture may be
- Requirements:
- Min 1 GB RAM
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Aug 16, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 16, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install nanobot PyPIHow it fits your stack(12)
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Evidence and technical details
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Overview
nanobot is a lightweight, open-source platform that facilitates the integration of various AI models such as Anthropic and OpenAI into different applications including chatbots and workflow automation tools. It supports interfacing with popular models like Claude and ChatGPT.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 16, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 16, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 16, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 16, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 16, 2026)
Prerequisites: Python 3.11 or newer. Git is only needed for a source install. Published packages already iSource link
Tags
README
📦 Install [!IMPORTANT] If you want the newest features and experiments, install from source. If you want the most stable day to day experience, install from PyPI or with . Pick one install method: Prerequisites: Python 3.11 or newer. Git is only needed for a source install. Publ...
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