Product overview
nanobot is a self-hosted Python agent framework with a browser workbench, terminal client, chat integrations, persistent memory and scheduled automations.
What nanobot offers
- 01Keep persistent topics and arrange related conversations side by side
- 02Inspect agent activity, tool calls, file edits and generated artifacts
- 03Connect supported model providers, local model servers, MCP tools and chat apps
- 04Schedule recurring tasks and pursue long-running goals
- 05Integrate through the Python SDK or an OpenAI-compatible agent API
What makes it different
The instance runs in the user’s environment and needs Python 3.11+ plus a configured model provider or local model server. Topics separate chat history, while one instance shares agent memory and Skills across projects. Scheduled work needs a running gateway and awake host. The main-branch README may describe features beyond an installed release.
Who should consider it
- People running a personal agent across browser, terminal and chat apps
- Developers embedding an agent with tools, memory and recurring tasks
What to verify
- Try one real task and compare its output with your requirements.
- Check what data the service stores, shares, or uses for training.
- Confirm current pricing, usage limits, and cancellation terms on the official site.
Explore related tasks
Official link checked on Oct 24, 2026. Feature claims have not been independently tested.




