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AI · June 30, 2026

GitHub

Transparent, transport-layer semantic cache for LLM API calls, powered by Redis 8 Vector Sets. - GuglielmoCerri/khazad

GitHub launched on June 30, 2026 with 5 votes, #2,466 of 22,647 launches that month and more than 75% of that year's launches.

Visit github.com ↗GitHub alternativestop 11% of June 2026

What it does

Khazad is a transparent semantic cache for LLM API calls. It intercepts LLM HTTP traffic at the httpx transport layer and serves semantically-equivalent requests from a Redis 8 vector cache with zero code changes. Works with OpenAI, Anthropic, Gemini, Azure OpenAI, and Mistral. Model-aware and conversation-aware caching, full streaming support, TTL, and tunable similarity thresholds. Stop paying for the same prompt twice in dev, CI, demos, or production. Open source (MIT).

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