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agentic-kv-cache

Reproducing agentic KV-cache policy claims on real traces. 68k requests from 393 Claude Code sessions. LRU is harder to beat than the papers suggest.

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GITHUB · launched Sep 10, 2026 · 22 upvotes (top 36%) · 1 view

Niche: ai benchmarking platforms · 145 launches, 4 in the last 7 days ▼ -56% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project
  • kv-cache
  • llm-agents
  • llm-inference
  • prefix-caching
  • reproducibility
  • sglang
  • +1 more

Visit website ↗ Source listing ↗

Could you build this?

No This is an advanced systems research benchmark measuring KV-cache eviction policies using extensive real-world execution traces across complex LLM context windows.

What it would actually take: Requires building an accurate discrete-event KV-cache memory simulator replicating vLLM/PagedAttention internals, prefix caching trees, and hardware memory tiering. It requires specialized expertise in LLM serving memory hierarchies and access to large proprietary token/session traces from real production agents to benchmark eviction policies.

Competitors

Other products that read as similar to this one : 1848 launches clear the similarity bar, closest 8 shown.

Attention rank: #581 of 1849 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 314 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.