head to head · open source

vllm vs claude-context

vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. claude-context has 12,663 stars, 939 forks, 146 open issues and last shipped 4 months ago. vllm leads on adoption by 659% (96,158 vs 12,663 stars). vllm is written in Python under Apache-2.0; claude-context is written in TypeScript under MIT. vllm has attracted 25% as many forks as stars, claude-context 7%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

vllm ★ 96K claude-context ★ 13K category AI & Machine Learning

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Side by side

vllm claude-context
GitHub stars ★ 96K ★ 13K
License Apache-2.0 MIT
Written in Python TypeScript
Last push 2026-11-02 2026-07-14
Forks ⑂ 24K ⑂ 939
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

full vllm profile →

pick claude-context if

  • You want the claude-context feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and claude-context fits your workflow better

full claude-context profile →

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…

read the full vllm overview →

About claude-context

🆕 Looking for persistent memory for Claude Code? Check out memsearch Claude Code plugin — a markdown first memory system that gives your AI agent long term memory across sessions. Your entire codebase as Claude's context Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase. 🧠 Your Entire Codebase as Context : Claude Context uses semantic search to find all relevant code from millions of lines. No multi round discovery needed. It brings results straight into the Claude's context. 💰 Cost Effective for Large…

read the full claude-context overview →

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Frequently asked questions

Is vllm or claude-context more popular?

vllm has 96,158 GitHub stars and claude-context has 12,663. vllm has the larger community by that measure.

Are vllm and claude-context free?

Both are open source. vllm is licensed under Apache-2.0 and claude-context under MIT. Neither carries a licence fee.

What is the difference between vllm and claude-context?

vllm is written in Python and claude-context 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 claude-context?

Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose claude-context if its feature set, stack or MIT licence fits better. Both are self-hostable.