head to head · open source

faiss vs claude-context

faiss has 40,939 GitHub stars, 4,527 forks, 327 open issues and last shipped yesterday. claude-context has 12,548 stars, 926 forks, 146 open issues and last shipped 2 months ago. faiss leads on adoption by 226% (40,939 vs 12,548 stars). faiss is written in C++ under MIT; claude-context is written in TypeScript under MIT. faiss has attracted 11% as many forks as stars, claude-context 7%. faiss 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.

faiss ★ 41K claude-context ★ 13K category AI & Machine Learning

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Side by side

faiss claude-context
GitHub stars ★ 41K ★ 13K
License MIT MIT
Written in C++ TypeScript
Last push 2026-09-19 2026-07-14
Forks ⑂ 4.5K ⑂ 926
Self-hosting Yes Yes
Data ownership Your server Your server

pick faiss if

  • You weight community size — 41K stars and counting
  • You want the MIT license terms
  • Your stack matches C++
  • You value the larger contributor base for long-term maintenance

full faiss 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 faiss

Faiss is an MIT licensed C++ library for efficient similarity search and clustering of dense vectors, with complete Python and NumPy wrappers, developed primarily at Meta's Fundamental AI Research group, and it is intended for engineers and researchers who need nearest neighbour search over vector sets that range from small collections to sets that possibly do not fit in RAM.

read the full faiss overview →

About claude-context

Claude Context is an open source Model Context Protocol (MCP) plugin that adds semantic code search to Claude Code and other AI coding agents. It is written in TypeScript, licensed under MIT, and published to npm as @zilliz/claude context core and @zilliz/claude context mcp . The project lives in the AI coding agent ecosystem, where it plugs into MCP compatible clients such as Claude Code, OpenAI Codex CLI, Cursor, and Gemini CLI. A companion VS Code extension is distributed through the Visual Studio Marketplace as zilliz.semanticcodesearch .

read the full claude-context overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

faiss vs Ollama faiss vs llama.cpp faiss vs vllm faiss vs GPT4All faiss vs llama_index faiss vs LocalAI faiss vs PageIndex faiss vs Langfuse faiss vs cognee faiss vs taipy faiss vs dagster faiss vs zvec

Frequently asked questions

Is faiss or claude-context more popular?

faiss has 40,939 GitHub stars and claude-context has 12,548. faiss has the larger community by that measure.

Are faiss and claude-context free?

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

What is the difference between faiss and claude-context?

faiss is written in C++ 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, faiss or claude-context?

Choose faiss if you want the larger community (40,939 stars) or its MIT licence terms. Choose claude-context if its feature set, stack or MIT licence fits better. Both are self-hostable.