head to head · open source
Mem0 vs CL4R1T4S
Mem0 has 68,364 GitHub stars, 8,111 forks, 742 open issues and last shipped 6 days ago. CL4R1T4S has 51,737 stars, 10,551 forks, 127 open issues and last shipped 1 months ago. Mem0 leads on adoption by 32% (68,364 vs 51,737 stars). Mem0 is written in Python under Apache-2.0; CL4R1T4S is written in various languages under AGPL-3.0. Mem0 has attracted 12% as many forks as stars, CL4R1T4S 20%. Mem0 was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agents, ai, 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 | CL4R1T4S | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 52K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | — |
| Last push | 2026-10-30 | 2026-09-22 |
| Forks | ⑂ 8.1K | ⑂ 11K |
| 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 CL4R1T4S if
- You want the CL4R1T4S feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- You evaluated both and CL4R1T4S 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 CL4R1T4S
CL4R1T4S AI SYSTEMS TRANSPARENCY AND OBSERVABILITY FOR ALL! Full extracted system prompts, guidelines, and tools from OpenAI, Google, Anthropic, xAI, Perplexity, Cursor, Windsurf, Devin, Manus, Replit, and more – virtually all major AI models + agents! 📌 Why This Exists "In order to trust the output, one must understand the input." AI labs shape how models behave using massive, unseen prompt scaffolds. Because AI is a trusted external intelligence layer for a growing number of humans, these hidden instructions can affect the perceptions and behavior of the public. These prompts define: What AIs can’t say What…
read the full CL4R1T4S overview →
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Frequently asked questions
Is Mem0 or CL4R1T4S more popular?
Mem0 has 68,364 GitHub stars and CL4R1T4S has 51,737. Mem0 has the larger community by that measure.
Are Mem0 and CL4R1T4S free?
Both are open source. Mem0 is licensed under Apache-2.0 and CL4R1T4S under AGPL-3.0. Neither carries a licence fee.
What is the difference between Mem0 and CL4R1T4S?
Mem0 is written in Python and CL4R1T4S in various languages. 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 CL4R1T4S?
Choose Mem0 if you want the larger community (68,364 stars) or its Apache-2.0 licence terms. Choose CL4R1T4S if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.