head to head · open source
serviette vs LongMemory
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. LongMemory has 4,560 stars, 513 forks, 19 open issues and last shipped 16 days ago. serviette leads on adoption by 1,188% (58,732 vs 4,560 stars). serviette is written in Python under MIT; LongMemory is written in TypeScript under Apache-2.0. serviette has attracted 3% as many forks as stars, LongMemory 11%. serviette was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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
| serviette | LongMemory | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 4.6K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-10-18 |
| Forks | ⑂ 1.5K | ⑂ 513 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick serviette if
- You weight community size — 59K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick LongMemory if
- You want the LongMemory 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 LongMemory fits your workflow better
About serviette
serviette Looking for llm app templates? All templates, cookbooks and examples are still available in full in the Pathway repository under examples/llm app . A no code, always up to date RAG server for any vector database — built on the Pathway Live Data Framework. Point serviette at a folder of documents, pick a vector database and an embedder in one YAML file, and run two commands: you get a chat and a REST API that answer from those documents and cite their sources. From then on, any change to the documents — an edit, a new file, a deletion — is reflected in the answers within seconds. serviette runs on…
read the full serviette overview →
About LongMemory
LongMemory Durable, temporal, governed memory for AI agents. Not just RAG. Not just a vector database. Local first and self hosted. LongMemory is a cognitive memory engine for LLM applications and autonomous agents. Durable local first storage with SQLite Immutable content, provenance, and temporal truth Strict, historical, associative, grounded, and multilingual recall Explainable evidence selection and token bounded context Governed project memory, Skills, Chat Memory, LLM Wiki, and CodeGraph One TypeScript engine across npm, CLI, HTTP, MCP, dashboard, and VS Code Native integrations for agent hosts…
read the full LongMemory overview →
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Frequently asked questions
Is serviette or LongMemory more popular?
serviette has 58,732 GitHub stars and LongMemory has 4,560. serviette has the larger community by that measure.
Are serviette and LongMemory free?
Both are open source. serviette is licensed under MIT and LongMemory under Apache-2.0. Neither carries a licence fee.
What is the difference between serviette and LongMemory?
serviette is written in Python and LongMemory 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, serviette or LongMemory?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose LongMemory if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.