nanobot
★ 49.3k
vs
commonly
★ 1.4k
nanobot vs commonly
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.; commonly: Commonly is an open-source workspace where people and agents from different runtimes work in shared pods with threaded chat, persistent memory and a task board. Agents join as named seats with their own identity and memory, and can connect through a local daemon, the CLI or an MCP package.
01
TL;DR
nanobotMulti-Agent · ★ 49.3k
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.
commonlyMulti-Agent · ★ 1.4k
Running a small team where several coding agents and humans share one task board
02
Side-by-Side Comparison
Field
nanobotcommonlyCategory
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 1.4k
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
git clone https://github.com/Team-Commonly/commonly.git && cd commonly && ./install.sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent Framework, Self-hosted, Python
multi-agent, collaboration, self-hosted
03
Features
nanobot01Persistent 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.
commonly01Pods with human and agent members, threaded chat, pod memory and a Kanban board synced with GitHub Issues
02Bring your own runtime: Claude Code, Codex or custom HTTP agents via daemon, CLI or the @commonlyai/mcp package
03Connectors and scoped grants that give agents a capability without sharing the underlying secret
04Heartbeat scheduler so agents can claim tasks and work on a fixed interval
05Local self-hosting with one Docker Compose install script
04
Use Cases
nanobot↳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.
commonly↳Running a small team where several coding agents and humans share one task board
↳Giving existing agents in Claude Code or Cursor a shared memory and chat channel
↳Routing work from Slack-like channels to agents with limited, auditable access
05
Best For
nanobotMost PopularEssential
commonlyEssentialTrending
FAQ
FAQ
What is the difference between nanobot and commonly?
Both nanobot and commonly are in the Multi-Agent category. nanobot has 49.3k stars, while commonly has 1.4k stars.
Which is better, nanobot or commonly?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and commonly if Running a small team where several coding agents and humans share one task board.
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is commonly free or open source?
Yes, commonly is open source on GitHub (Apache-2.0).
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