HOW IT WORKS
Point your LLM client at Cachecore. No SDK changes, no rewrites.
Every call gets fingerprinted. Exact matches return in 70ms. Near-identical ones match semantically and return in under a second.
You paid for the first answer. Every time that same question comes back, the answer is free.
FEATURES
Word-for-word repeats return in 70ms. Near-identical calls match semantically and return in under a second. Both skip the API completely. You get the answer, not the bill.
Multi-agent systems repeat the same work constantly. Document checks, tool calls, synthesis steps. CacheCore catches duplicates across every agent in your graph, not just within a single session.
OpenAI-compatible. Works with LangChain, CrewAI, LangGraph, AutoGen, and OpenClaw. Point your base_url at CacheCore and you're done.
In most agent workloads, the majority of calls are repeats. CacheCore catches them before they reach the model. The savings add up fast, and compound with every agent you add.
GUIDES
How CacheCore cuts synthesis latency from 7 seconds to 70 milliseconds for RAG agents, without touching your prompting logic.
Read guide →Cut LLM costs for multi-agent OpenClaw workflows with one config change. No code modifications required for basic integration.
Read guide →We're looking for early testers. No credit card required.