head to head · open source
Mem0 vs qwen-code
Mem0 has 68,364 GitHub stars, 8,111 forks, 742 open issues and last shipped 6 days ago. qwen-code has 28,987 stars, 3,308 forks, 1,422 open issues and last shipped yesterday. Mem0 leads on adoption by 136% (68,364 vs 28,987 stars). Mem0 is written in Python under Apache-2.0; qwen-code is written in TypeScript under Apache-2.0. Mem0 has attracted 12% as many forks as stars, qwen-code 11%. qwen-code was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, 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
| Mem0 | qwen-code | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 29K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-10-30 | 2026-11-04 |
| Forks | ⑂ 8.1K | ⑂ 3.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Mem0 if
- You weight community size — 68K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick qwen-code if
- You want the qwen-code feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and qwen-code fits your workflow better
About Mem0
Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production representative model stack. Single pass retrieval (one call, no agentic loops) at a top 200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open source SDK; open source users should expect directionally similar gains but not identical numbers. What changed: Single pass ADD only extraction one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent…
About qwen-code
The open source AI coding agent for your terminal, editor, desktop, browser, and chat. 中文 Deutsch français 日本語 Русский Português (Brasil) 한국어 Why Qwen Code? Agentic out of the box — Auto Memory, Auto Skills, SubAgents, Agent Teams, and MCP. Dynamic workflows, zero setup. Open source, inside and out — The framework and the Qwen models are open source. They evolve together. No vendor lock in. Multi protocol — Supports OpenAI, Anthropic, Gemini, and Qwen APIs. Any third party provider or local model (Ollama / vLLM). Switch at runtime. Beyond the terminal — IDE plugins, Desktop app, Web UI, SDKs, and chat…
read the full qwen-code overview →
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Frequently asked questions
Is Mem0 or qwen-code more popular?
Mem0 has 68,364 GitHub stars and qwen-code has 28,987. Mem0 has the larger community by that measure.
Are Mem0 and qwen-code free?
Both are open source. Mem0 is licensed under Apache-2.0 and qwen-code under Apache-2.0. Neither carries a licence fee.
What is the difference between Mem0 and qwen-code?
Mem0 is written in Python and qwen-code in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Mem0 or qwen-code?
Choose Mem0 if you want the larger community (68,364 stars) or its Apache-2.0 licence terms. Choose qwen-code if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.