Crowkis

What it does

Crowkis is a Redis-compatible, ultra-fast LLM cache built in Rust. Traditional caches fail with AI because minor prompt variations cause cache misses. Crowkis fundamentally understands semantic query intent, evaluates if a cached response is safe and relevant to reuse, and acts as an intelligent agent memory layer. Maximize your response speeds, slash API token costs, and prevent stale context or hallucinations across your LLM workloads securely

Crowkis is a Redis-compatible semantic cache and long-term agent memory layer built in Rust for LLM and agentic AI workloads. It understands what a query means, gives agents memory that survives restarts, blocks cache poisoning, and cuts LLM cost, self-hosted, zero-egress.

Crowkis understands what your LLM is being asked, and serves the answer it already has, only when it's safe to. Your bill drops. Your users stop waiting. “How do refunds work?” and “What's your refund window?” become one answer, not two bills. Five checks gate every hit, wrong, stale, or poisoned answers never leave the cache. Speaks Redis, gRPC, REST, and MCP. One Docker image, one port change, zero rewrites. Python, Node, the Redis CLI, gRPC, REST, and MCP all plug into the same engine. Point a client at one port and you have a semantic cache, no rewrite, no new mental model. The same questions, rephrased all day, billed at full price every time. The obvious fixes fail, exact-match caches…from crowkis.com

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