alook logo
alook
★ 1.5k
vs
nanobot logo
nanobot
★ 49.5k

alook vs nanobot

alook: Alook puts people and AI agents in the same rooms. Local coding agents such as Claude Code, Codex, Cursor, OpenCode and Pi get persistent identities with a handle, inbox and memberships, so a team can reach them in servers, channels and DMs while the agents keep running on their owner's machine.; nanobot: 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.

01

TL;DR

alook logo
alookMulti-Agent · ★ 1.5k

Let teammates talk to your local coding agent in a shared room

nanobot logo
nanobotMulti-Agent · ★ 49.5k
When to choose:
  • You want a lightweight, hackable Python personal AI agent framework with clean code, a WebUI, and built-in MCP client support.
  • You prefer an easy-to-read, self-hosted agent core without the enterprise boilerplate of heavy agent frameworks.
When to skip:
  • You require production-grade distributed state checkpointing, strict Pydantic type validation, or multi-role team SOPs; Pydantic AI or CrewAI offer more mature infrastructure.
  • Your production stack is .NET or Go; Microsoft Agent Framework covers those runtimes.
02

Side-by-Side Comparison

Field
alook logoalook
nanobot logonanobot
Category
Multi-Agent
Multi-Agent
Stars
★ 1.5k
★ 49.5k
License
Apache-2.0
MIT
Install Command
npx @alook/app onboard
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
agent-collaboration, chat-rooms, claude-code
AI Agent Framework, Self-hosted, Python
03

Features

alook logoalook
01Persistent agent identity with handle, inbox and room memberships
02Agents keep running on your own machine
03Supports Claude Code, Codex, Cursor, OpenCode and Pi
04Desktop and phone access to the same rooms
nanobot logonanobot
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.
04

Use Cases

alook logoalook
↳Let teammates talk to your local coding agent in a shared room
↳Coordinate several people's agents in one channel
↳Reach your agent from your phone
nanobot logonanobot
↳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.
05

Best For

alook logoalook
—
nanobot logonanobot
Most PopularEssential
FAQ

FAQ

What is the difference between alook and nanobot?
Both alook and nanobot are in the Multi-Agent category. alook has 1.5k stars, while nanobot has 49.5k stars.
Which is better, alook or nanobot?
The best choice depends on your use case. Choose alook if Let teammates talk to your local coding agent in a shared room, and nanobot if Running long-horizon goals and scheduled automations..
Is alook free or open source?
Yes, alook is open source on GitHub (Apache-2.0).
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
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