head to head · open source
vllm vs LongMemory
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. LongMemory has 4,560 stars, 513 forks, 19 open issues and last shipped 16 days ago. vllm leads on adoption by 2,009% (96,158 vs 4,560 stars). vllm is written in Python under Apache-2.0; LongMemory is written in TypeScript under Apache-2.0. vllm has attracted 25% as many forks as stars, LongMemory 11%. vllm 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
| vllm | LongMemory | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 4.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-10-18 |
| Forks | ⑂ 24K | ⑂ 513 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 96K 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 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 vllm
Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…
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 vllm or LongMemory more popular?
vllm has 96,158 GitHub stars and LongMemory has 4,560. vllm has the larger community by that measure.
Are vllm and LongMemory free?
Both are open source. vllm is licensed under Apache-2.0 and LongMemory under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and LongMemory?
vllm 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, vllm or LongMemory?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose LongMemory if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.