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thu-nics/AKV
thu-nics/AKV: Large Language Model (LLM) agents can handle increasingly complex tasks, navigating long trajectories of observations and actions. As these trajectories grow, key-value (KV) cache I/O and storage become the dominant cost. Trajectories can also exceed the LLM's maximum context...
AgentScore
27.0+1.26
+1.26 vs 24h ago
Adoption10.3
Quality50.0
Momentum51.5
Community25.8
Unrated pillars contribute zero
CapabilitiesCode GenerationRag
DeploymentIde Plugin
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars+0.6%175→ 37.4PyPI monthly installs12→ 13.9MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 4 scaled values = 10.3.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs
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