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zilliztech/GPTCache

Some data may be outdated — see provenance labels.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index. observed · 2026-10-04

github.com/zilliztech/GPTCache · homepage · Python · MIT (permissive) observed · 2026-10-04

Health v2 · maintenance only

65/100

  • Activity 96
  • Release rhythm 8
  • Longevity 93
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1306
  • days_rel: n/a
  • days_push: 28
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

8209 stars · 596 forks observed · 2026-10-04

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GPTCache is a Python library for building a semantic cache that stores and retrieves LLM responses based on embedding similarity, reducing API costs and latency. It integrates with LangChain and llama_index and offers a Docker server usable from any language.

Use cases

  • cache LLM API responses to cut costs
  • speed up chatbot responses with semantic caching
  • reduce duplicate OpenAI API calls
  • add a memcache layer for AIGC applications
  • integrate semantic caching into LangChain pipelines

When to choose

  • your LLM app has high traffic with repeated or similar queries
  • you want to lower OpenAI/LLM API bills and latency
  • you use LangChain or llama_index and want drop-in caching

When to avoid

  • you need support for brand-new LLM APIs (no longer added)
  • you need a stable, unchanging API (it may change)
  • your queries are mostly unique with little semantic overlap

Facets

library · maturity maintenance

caching llm-inference rag search-engine large-language-models artificial-intelligence chatbots databases python self-hosted semantic-cache llm-cost-reduction vector-search langchain llama-index openai milvus redis docker

3 sources

Member repositories

RepositoryRoleHealth v2
zilliztech/GPTCachemain65

For agents

markdown · JSON · MCP: product_card(name="zilliztech/GPTCache")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem