nanobot

Active·★ 46.6k·MIT·Updated 2026-08-04

★ Most Popular★ Essential

nanobot is an ultra-lightweight, self-hosted personal AI agent framework built in Python, offering a readable core for multi-agent delegation and automation. It supports various interfaces including WebUI, terminal, and chat apps, integrating tools, long-term memory, and OpenAI-compatible APIs.

nanobot is currently grouped under Multi-Agent, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Persistent workflows: goals, memory, tools, and chat context survive long-running work. and Running long-horizon goals and scheduled automations.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 46.6k GitHub stars.

#AI Agent Framework#Self-hosted#Python#Multi-Agent#WebUI#Long-term Memory#Workflow Automation#LLM Integration

Features

01Persistent workflows: goals, memory, tools, and chat context survive long-running work.

02Chat-native reach: WebUI, API, Telegram, Feishu, Slack, Discord, Teams, email, and Mattermost.

03Model freedom: OpenAI-compatible APIs, local LLMs, image generation, search, and fallbacks.

04Small core: readable internals with MCP, memory, deployment, and automation built in.

05Own your stack: inspect, customize, self-host, and extend without a giant platform.

Why choose it

+Persistent workflows: goals, memory, tools, and chat context survive long-running work.

+Running long-horizon goals and scheduled automations.

+Covers 5 supported environments or platforms, which is helpful for broader deployment needs.

+Ships with a public repository and a MIT license, which makes adoption and review easier.

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

Python

Runtime

Verified via docs

MacOS

Verified via docs

Linux

Verified via docs

Windows

Verified via docs

Docker

Deployment

Verified via docs

Quick start

$ python -m pip install nanobot-ai

Use cases

↳Running long-horizon goals and scheduled automations.

↳Connecting to various chat applications like Telegram, Discord, Slack for AI interaction.

↳Exposing a Python SDK and OpenAI-compatible API for custom integrations and development.

↳Deploying as a long-running local or server-side agent gateway.

How it compares

≈nanobot sits in the Multi-Agent category, so it makes more sense to evaluate it alongside tools like Microsoft AutoGen instead of in isolation.

≈If your main need is closer to "Running long-horizon goals and scheduled automations.", that use case is a better lens for comparison than broad feature checklists alone.

≈nanobot uses a MIT license, and community traction are both easier to judge in category context.

Alternatives

Microsoft AutoGen★ 60.2k

A framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

Features

Why choose it

Trade-offs

Compatibility

Quick start

Use cases

How it compares

Alternatives

Related searches

Comments

Features

Why choose it

Trade-offs

Compatibility

Quick start

Use cases

How it compares

Alternatives

Related searches

Comments