CacheCore
Caches LLM API responses to avoid paying for repeated calls, with exact-match hits in 70ms and semantic hits under a second.
CacheCore is an LLM caching layer that intercepts API calls to OpenAI-compatible endpoints, returning cached responses for exact or semantically similar requests, thereby reducing costs and latency. It targets developers and engineering teams building AI applications, particularly those using multi-agent frameworks like LangChain, CrewAI, LangGraph, AutoGen, or OpenClaw. It is positioned as a drop-in solution requiring only a base_url change, with no SDK modifications, and is offered as an API with a free tier for early testers.
Key features
- Two layers of cache (exact and semantic)
- Exact cache hit in 70ms
- Semantic cache hit under a second
- Works across multi-agent pipelines
- One config change integration
- OpenAI-compatible
- Supports LangChain, CrewAI, LangGraph, AutoGen, OpenClaw
- Reduces API calls by 40-70%
- No social media activity within the last 30 days
GTM channels
- API
- Docs
ICP
- Software developers
- Engineering teams
- Startups