head to head · open source
Mem0 vs langgraph
Mem0 has 68,288 GitHub stars, 8,104 forks, 742 open issues and last shipped 4 days ago. langgraph has 44,336 stars, 7,622 forks, 786 open issues and last shipped yesterday. Mem0 leads on adoption by 54% (68,288 vs 44,336 stars). Mem0 is written in Python under Apache-2.0; langgraph is written in Python under MIT. Mem0 has attracted 12% as many forks as stars, langgraph 17%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 5 topic tags (agents, ai, ai-agents, chatgpt), 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 | langgraph | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 44K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-10-30 | 2026-11-02 |
| Forks | ⑂ 8.1K | ⑂ 7.6K |
| 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 langgraph if
- You want the langgraph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langgraph 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 langgraph
Low level orchestration framework for building stateful agents. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low level orchestration framework for building, managing, and deploying long running, stateful agents. [!TIP] If you're looking to quickly build agents, check out Deep Agents — a higher level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks. For an equivalent JS/TS library, check out LangGraph.js and the JS docs. Why use LangGraph? LangGraph provides low level supporting…
read the full langgraph overview →
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Frequently asked questions
Is Mem0 or langgraph more popular?
Mem0 has 68,288 GitHub stars and langgraph has 44,336. Mem0 has the larger community by that measure.
Are Mem0 and langgraph free?
Both are open source. Mem0 is licensed under Apache-2.0 and langgraph under MIT. Neither carries a licence fee.
What is the difference between Mem0 and langgraph?
Mem0 is written in Python and langgraph 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, Mem0 or langgraph?
Choose Mem0 if you want the larger community (68,288 stars) or its Apache-2.0 licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.