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nano-lmcache

πŸ“š An educational, step-by-step implementation of LLM KV cache reuse β€” learn prefix caching, chunk keys, storage & eviction, from pure Python to GPU tensors and vLLM integration. Inspired by LMCache.

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GITHUB · launched Oct 19, 2026 · 23 upvotes (top 52%) · 0 views

Niche: llm inference and deployment tools · 188 launches, 6 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project
  • educational
  • kv-cache
  • llm
  • llm-inference
  • lmcache
  • prefix-caching
  • +2 more

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Could you build this?

Partial A pure-Python educational walkthrough of prefix caching, chunk keys, and eviction is vibe-codeable. Faithful GPU tensor handling and vLLM integration require ML systems expertise.

What it would actually take: The pure-Python layers (hashing token chunks, storage backends, LRU or similar eviction) are straightforward. A real version needs PyTorch GPU memory management, correct KV tensor layout matching the model, and integration with vLLM's cache-manager internals, which needs inference-systems knowledge.

Competitors

Other products that read as similar to this one : 1172 launches clear the similarity bar, closest 8 shown.

Attention rank: #615 of 1173 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 355 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.