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Cymatix Context
Same query, same answer: deterministic RAG for agents
Local-first context engine for LLM agents: an OpenAI-compatible proxy and MCP server over a SQLite knowledge store, with no model inference on the default retrieval path. If you're running agents in edge deployments, cymatix is for you and your agents!
Hey Product Hunt 👋 I'm Max.
I started Cymatix after trying to run a 20B+ parameter model on 12GB of VRAM. Once the model had eaten my memory, there was no room left for retrieval. So I built a retrieval engine that runs on the CPU alone and works with a small local model or a frontier one.
What makes it different:
Deterministic, math-only retrieval. There's no LLM in the hot path, so the same query gets the same result every time and you can audit it.
Runs locally. Your data stays on your machine, which matters for air-gapped and offline setups.
Plugs into agents through MCP, with deferred tool loading so it doesn't bloat your context.
Verified 33.93% on the EnterpriseRAG Benchmark leaderboard, and collaborators have reproduced it independently on ARM64.
It's open source under Apache 2.0. I'd love feedback on where retrieval breaks for you, whether that's scale, messy docs, or domain-specific corpora. That's the stuff I'm actively working on.
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About Cymatix Context on Product Hunt
“Same query, same answer: deterministic RAG for agents”
Cymatix Context was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. Local-first context engine for LLM agents: an OpenAI-compatible proxy and MCP server over a SQLite knowledge store, with no model inference on the default retrieval path. If you're running agents in edge deployments, cymatix is for you and your agents!
Cymatix Context was featured in Open Source (68.9k followers), Developer Tools (520.4k followers), Artificial Intelligence (479.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 257.1k products, making this a competitive space to launch in.
Who hunted Cymatix Context?
Cymatix Context was hunted by Max Bachaud. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Max Bachaud