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nanobot

HKUDS/nanobot

Lightweight, open-source AI agent for your tools, chats, and workflows.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

87views this month

47k stars8.3k forksLast push Aug 16, 2026 Python MIT

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

Verify the decision

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
PyPI

How it fits your stack(12)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

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

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

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 i
Source 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...

For agents

This page has a .md twin and JSON over the API.

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