GPTCache

An open-source semantic cache that matches similar (not just identical) queries to cached responses, achieving 61-69% hit rates with 97%+ accuracy. Can save $2K+/day at scale by avoiding redundant LLM calls.

AI ToolFree Tier: Open source; self-hostedCompany: Zilliz (Milvus team)Category: Cost OptimizationOpen Source: YesQuick Start: Install with pip install gptcache → Initialize the cache with an embedding model → Wrap your LLM calls with the cache and watch costs drop

GPTCache

Open-source semantic LLM cache — 61–69% hit rate, 97%+ accuracy, saves $2K+/day

Visit GPTCache →

An open-source semantic cache that matches similar (not just identical) queries to cached responses, achieving 61-69% hit rates with 97%+ accuracy. Can save $2K+/day at scale by avoiding redundant LLM calls.

FREE TIER
Open source; self-hosted
COMPANY
Zilliz (Milvus team)
CATEGORY
Cost Optimization › Caching Tools
OPEN SOURCE
Yes
PRIVACY
Your cache, your data
TAGS
cachingsemanticopen-source

QUICK START

Install with pip install gptcache → Initialize the cache with an embedding model → Wrap your LLM calls with the cache and watch costs drop

BEST FOR

  • ▸Teams with high LLM API usage seeking significant cost reduction.
  • ▸Developers needing a self-hosted, open-source semantic cache for LLMs.
  • ▸Privacy-focused teams needing full control over their LLM cache data.

NOT FOR

  • ✕Users seeking a managed, zero-setup caching solution for LLMs.
  • ✕Small projects with low LLM API volume, where setup outweighs savings.
Finding similar tools…
← Back to all tools