head to head · open source

Dify vs Mem0

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. Mem0 has 68,288 stars, 8,104 forks, 742 open issues and last shipped 4 days ago. Dify leads on adoption by 135% (160,251 vs 68,288 stars). Dify is written in Python under a custom or non-standard licence; Mem0 is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, Mem0 12%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, genai, 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.

Dify ★ 160K Mem0 ★ 68K category AI & Machine Learning

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Side by side

Dify Mem0
GitHub stars ★ 160K ★ 68K
License Custom / other Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-10-30
Forks ⑂ 25K ⑂ 8.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 160K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Dify profile →

pick Mem0 if

  • You want the Mem0 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 Mem0 fits your workflow better

full Mem0 profile →

About Dify

Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…

read the full Dify overview →

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…

read the full Mem0 overview →

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Frequently asked questions

Is Dify or Mem0 more popular?

Dify has 160,251 GitHub stars and Mem0 has 68,288. Dify has the larger community by that measure.

Are Dify and Mem0 free?

Both are open source. Dify has no licence declared in this registry, and Mem0 is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Dify and Mem0?

Dify is written in Python and Mem0 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, Dify or Mem0?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose Mem0 if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.