AI INFRASTRUCTURE

LLM calls,
cached.

A transparent proxy for LLM calls — built for agents, tool loops, and extended thinking.

~/app
$
$ HIT

HOW IT WORKS

[01]

DROP IN

Point your LLM client at CacheCore. No SDK changes, no rewrites.

[02]

CACHE

Prompts, reasoning chains, and agent steps match semantically. Cache hit in under 1ms.

[03]

SAVE

Pay for the first call. Never the repeat. Watch costs collapse.

FEATURES

Thinking Cache

Reasoning tokens are the most expensive part of modern AI. Cache the thinking phase once, serve it forever.

Agent-Ready

Multi-step pipelines repeat the same tool calls and sub-prompts constantly. CacheCore collapses redundant steps across the whole loop.

Drop-in Proxy

Works with OpenAI, Anthropic, and agent frameworks like LangChain, CrewAI, and AutoGen. One config change.

Cost Reduction

40–70% fewer billable tokens. The savings compound with every agent step that hits cache.

<5ms
Cached response time
70%
Avg. token cost reduction
100%
OpenAI API compatible

Stop paying for the
same reasoning twice.

Request Access

We're looking for early testers. No credit card required.