head to head · open source
Jan vs agentscope
Jan has 44,566 GitHub stars, 3,040 forks, 521 open issues and last shipped yesterday. agentscope has 31,992 stars, 3,522 forks, 369 open issues and last shipped 2 days ago. Jan leads on adoption by 39% (44,566 vs 31,992 stars). Jan is written in TypeScript under a custom or non-standard licence; agentscope is written in Python under Apache-2.0. Jan has attracted 7% as many forks as stars, agentscope 11%. Jan was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| Jan | agentscope | |
|---|---|---|
| GitHub stars | ★ 45K | ★ 32K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-19 | 2026-09-18 |
| Forks | ⑂ 3.0K | ⑂ 3.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Jan if
- You weight community size — 45K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- 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 Jan
Jan is an open source desktop application that serves as a ChatGPT replacement, enabling users to run large language models (LLMs) locally on their machines or connect to cloud based providers like OpenAI and Anthropic. It is built with Tauri, TypeScript, and integrates llama.cpp for efficient local inference, targeting privacy conscious users who want full control over their AI workflows without sending data to third parties.
About agentscope
AgentScope 2.0 is a production ready agent framework written in Python and released under the Apache 2.0 licence. It provides a set of essential abstractions for building agents, and it is designed explicitly for increasingly agentic large language models. Rather than wrapping models in strict prompts and opinionated orchestrations, the framework leans on the reasoning and tool use abilities the models already have, so the agent logic follows rising model capability instead of fighting it. The project lives in the Python AI and machine learning ecosystem, with a documented homepage at docs.agentscope.io and a rep…
read the full agentscope overview →
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Frequently asked questions
Is Jan or agentscope more popular?
Jan has 44,566 GitHub stars and agentscope has 31,992. Jan has the larger community by that measure.
Are Jan and agentscope free?
Both are open source. Jan has no licence declared in this registry, and agentscope is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Jan and agentscope?
Jan is written in TypeScript 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, Jan or agentscope?
Choose Jan if you want the larger community (44,566 stars) or its Custom / other licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.