nanobot

Lightweight self-hosted personal agent framework in Python with a WebUI, chat-app channels, memory and MCP

Agent by HKU Data Intelligence Lab

IndexedMIT★ 49,328

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Setup steps are in the repository. Website · Repository

About

nanobot is a small, self-hosted personal AI agent framework written in Python. It runs in a browser WebUI or terminal and connects to channels including Telegram, Discord, Slack, WeChat, Email, Mattermost and Linear. It reads PDF, Word, Excel and PowerPoint files, uses shell, web search and MCP tools, keeps long-term memory, and runs scheduled automations. A Python SDK and an OpenAI-compatible API are available, and it works with OpenAI-compatible providers or local model servers.

Use cases: personal-assistant, scheduling, workflow-automation, team-chat, agent-memory

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Fact sheet

Jobs: personal assistant, schedulingREADME
Autonomy: Autonomous: runs tasks end to end and reports backREADME
Where you use it: Web, Terminal, Slack, Microsoft Teams, Email, otherREADME
Hosting: You run itREADME
Models: openai, local modelsREADME
Interfaces: mcp, sdk, rest-apiREADME
Open source: YesREADME

Facts extracted by Claude Sonnet 5.5 from the linked sources on Oct 24, 2026; reviewed Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars: 49,328
Forks: 8,672
Open issues: 215
Last commit: Oct 24, 2026 (4 days ago)
Last release: Sep 15, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/HKUDS/nanobot
Website: nanobot.wiki
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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nanobot. Agent Mart. https://agentmart.dev/agents/nanobot (last updated 2026-10-24)