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Crowkis
The smart, Rust-built LLM cache and agent memory layer
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
Hey Product Hunt! 👋
We built Crowkis because traditional caching layers simply aren't cut out for the probabilistic nature of LLMs. Standard caches rely on exact string matches—if an AI agent tweaks a single word in its prompt, you get a cache miss, racking up massive token bills and slowing down execution.
Crowkis changes that. Built from the ground up in Rust for maximum speed, it's completely Redis-compatible and brings semantic intelligence to your data layer.
Key features we're excited for you to try:
1. Smart Evaluation: It understands query intent and checks if a cached response is truly safe to reuse.
2. Agent Memory: Seamlessly preserves context and state across complex agentic workflows without repetitive LLM calls.
3. Drop-in Replacement: Since it's Redis-compatible, you can integrate it into your existing stack in minutes.
We’d love to hear your thoughts, answer any architectural questions, and learn how you plan to use it for your AI apps!
About Crowkis on Product Hunt
“The smart, Rust-built LLM cache and agent memory layer”
Crowkis was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #114 on the daily leaderboard. 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
On the analytics side, Crowkis competes within Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Crowkis performed against the three products that launched closest to it on the same day.
Who hunted Crowkis?
Crowkis was hunted by Crowkis. 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.
For a complete overview of Crowkis including community comment highlights and product details, visit the product overview.
Crowkis