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nanobot
nanobot is a GitHub project from HKUDS presented as a lightweight, self-hosted personal AI agent that can run through a browser workbench, native terminal client, or connected chat apps.
The v0.3.5 release lets the browser and terminal use the same gateway and saved conversations. It adds resumable terminal sessions, grouped browser conversations, temporary chats, session mentions, clearer automations, and more visible context use. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
Self-hosted personal agent project
nanobot combines a browser workbench, native terminal client, chat-app connections, tools, long-term memory, model routing, scheduled automation, an SDK, and an OpenAI-compatible API around one agent runtime.
Why it stands out
One workspace across several interfaces
The v0.3.5 release makes saved conversations easier to continue across the browser and terminal. Sessions can be resumed, forked, inspected, mentioned from other sessions, or detached from the terminal while the same gateway keeps the runtime together.
Availability
GitHub project with packaged releases
The repository, documentation, and PyPI package cover local and server-side setup. PyPI provides v0.3.5 packages for supported macOS, Linux, and Windows systems and still classifies the project as Alpha.
Why it matters
What makes it useful
nanobot lets readers inspect how one personal-agent runtime can keep conversations and tools available across a browser, terminal, and chat apps while showing context use, file activity, automation runs, and session history.
What to know
Where it fits
Read it as part of the personal-agent and agent-tooling layer rather than the general consumer-chatbot layer. It is more relevant to technically comfortable readers who want to inspect or adapt an agent stack than to someone looking for a finished assistant with minimal setup.
Notable points
What stands out
HKUDS released v0.3.5 on 15 September 2026. Its notes emphasize a native terminal workbench, shared saved conversations, browser multitasking, clearer automations, visible context use, portable plugins, remote MCP sign-in, mobile improvements, and tighter runtime boundaries.
Before using
What to review
Which providers, channels, model presets, and fallback paths match the intended setup.
What messages, files, credentials, and workspace data each provider or channel can access, where they are stored, and how that access can be removed.
The project's setup requirements, including Python 3.11+, package installation, gateway setup, configuration files, supported terminal packages, and channel-specific dependencies.
The PyPI Alpha classification and project-reported release notes before relying on it for important or sensitive workflows.
The v0.3.5 upgrade notes before replacing an existing install: session storage moves, old and new versions should not write the same workspace together, verified Email needs an explicit receiver trust anchor, and the last attached interactive client can stop an on-demand gateway.
The host-side workspace and access setting for remote projects. The release notes say remote clients require Restricted access and cannot enable Full Access.
Reader fit
Who may find it relevant
Readers comparing lightweight personal-agent projects with WebUI, SDK, provider, and channel work.
People testing how an agent carries saved sessions across interfaces, handles longer work, exposes context use, and connects tools or chat apps.
Less relevant for readers who mainly want a finished consumer-facing assistant with minimal setup.
Editorial note
Why LifeHubber lists it
LifeHubber lists nanobot because one small agent runtime can carry saved work across a browser, terminal, and chat apps while keeping sessions, context use, tools, and automations visible. Readers can decide whether that continuity is worth the provider, channel, credential, and workspace access they must configure.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Decide what should survive beyond one agent session.
nanobot focuses on steadier sessions, runtime controls, tools, and channels. These next steps compare persistent memory, readable learned skills, and project records that remain usable outside the agent.
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