nanobot

Does it fit your conditions?

You want a small customizable assistant and can maintain a Python-based service.

Setup

Configure tools

Interface

Terminal, Browser

Access

Provider API key

Workspace

Connected apps

Install the framework, configure model access, and test the required tools or chat channel.

Reviewed scope: HKUDS nanobot; self-hosted framework.

Coding and office fit

Small framework size does not establish lower token use or a ready-made office workflow.

Costs and context

Provider usage / hosting

Measure your own configured workflow; no comparative token savings are claimed.

Reduce unnecessary work: Keep persistent memory concise and pass only the records needed by each run.

Measured tokens / task

Unknown — not measured

Measured cost / task

Unknown — not measured

Compare the same deliverable and acceptance criteria, including retries and your review time. Local execution does not establish local model processing.

Try one real task

1. Install the framework, configure model access, and test the required tools or chat channel.
2. Start with a small task: Build personal workflows with memory, tools, automation, and supported chat applications.
3. Check the result against your original files and acceptance criteria before expanding the workflow.

Before relying on this workflow, check the current plan, device, region, language, file format, and required permissions.

Bring your work with you

Bring a reviewed personal brief and workflow inventory; recreate tools and test memory behavior in a new session.

A reviewed brief can carry context. Native history, internal memory, account permissions, and running tasks are not assumed to transfer.