head to head · open source
nanobot vs agentscope
nanobot has 49,834 GitHub stars, 8,712 forks, 775 open issues and last shipped today. agentscope has 35,395 stars, 3,787 forks, 369 open issues and last shipped yesterday. nanobot leads on adoption by 41% (49,834 vs 35,395 stars). nanobot is written in Python under MIT; agentscope is written in Python under Apache-2.0. nanobot has attracted 17% as many forks as stars, agentscope 11%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (chatbot, mcp, multi-agent), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| nanobot | agentscope | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 35K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-05 | 2026-11-04 |
| Forks | ⑂ 8.7K | ⑂ 3.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nanobot if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick agentscope if
- You want the agentscope feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and agentscope fits your workflow better
About nanobot
English 简体中文 繁體中文 Español Français Bahasa Indonesia 日本語 한국어 Русский Tiếng Việt Discord · X · WeChat / Feishu nanobot 🐈 nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long term memory, MCP integrations, model routing, multi agent delegation, scheduled automation, and an OpenAI compatible API in a small, readable core. Start Here What can nanobot do? nanobot is a self hosted personal AI agent runtime. It can: run in a browser WebUI or terminal connect to Telegram, Discord, Slack, WeChat, Email…
read the full nanobot overview →
About agentscope
中文主页 Documentation Roadmap What is AgentScope 2.0? AgentScope 2.0 is a production ready, easy to use agent framework with essential abstractions that keep up with rising model capability. We design for increasingly agentic LLMs. Our approach leverages the models' reasoning and tool use abilities rather than constraining them with strict prompts and opinionated orchestrations. News [2026 09] FEAT : agentscope skill now supports AgentScope v2. [2026 09] INTE : Support DashScope, OpenAI, Gemini and xAI realtime APIs in RealtimeAgent . Example Docs [2026 09] FEAT Experimental : Realtime voice agent supported…
read the full agentscope overview →
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Frequently asked questions
Is nanobot or agentscope more popular?
nanobot has 49,834 GitHub stars and agentscope has 35,395. nanobot has the larger community by that measure.
Are nanobot and agentscope free?
Both are open source. nanobot is licensed under MIT and agentscope under Apache-2.0. Neither carries a licence fee.
What is the difference between nanobot and agentscope?
nanobot is written in Python and agentscope in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, nanobot or agentscope?
Choose nanobot if you want the larger community (49,834 stars) or its MIT licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.