head to head · open source
Mem0 vs humanizer
Mem0 has 68,364 GitHub stars, 8,111 forks, 742 open issues and last shipped 6 days ago. humanizer has 64,488 stars, 5,085 forks, 13 open issues and last shipped 8 days ago. Mem0 leads on adoption by 6% (68,364 vs 64,488 stars). Mem0 is written in Python under Apache-2.0; humanizer is written in Python under MIT. Mem0 has attracted 12% as many forks as stars, humanizer 8%. Mem0 was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (chatgpt, 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 | humanizer | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 64K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-10-30 | 2026-10-28 |
| Forks | ⑂ 8.1K | ⑂ 5.1K |
| 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 humanizer if
- You want the humanizer feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and humanizer 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 humanizer
Humanizer Humanizer rewrites AI sounding text so it reads like a person wrote it, without changing what it says. Because it is just Markdown, it works with any agent that supports skills. Installation Install Humanizer with the Skills CLI: Leave off global to install Humanizer only in the current project. Add agent or agent ' ' to choose which agents receive it, then reload their skills. The skill answers to /humanizer . Claude Code 2.1.142 or newer can install the plugin instead: The plugin answers to /humanizer:humanizer . In Claude Desktop, download this repository as a ZIP and upload it as a skill. For a…
read the full humanizer overview →
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Frequently asked questions
Is Mem0 or humanizer more popular?
Mem0 has 68,364 GitHub stars and humanizer has 64,488. Mem0 has the larger community by that measure.
Are Mem0 and humanizer free?
Both are open source. Mem0 is licensed under Apache-2.0 and humanizer under MIT. Neither carries a licence fee.
What is the difference between Mem0 and humanizer?
Mem0 is written in Python and humanizer 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 humanizer?
Choose Mem0 if you want the larger community (68,364 stars) or its Apache-2.0 licence terms. Choose humanizer if its feature set, stack or MIT licence fits better. Both are self-hostable.