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aiming-lab/assay
aiming-lab/assay: LLM agents can improve without weight updates by accumulating natural-language skills from experience, but current systems entrust every decision about which skills to keep and how to apply them to LLM judgment alone. We argue that this conflates two distinct roles: generating...
AgentScore
5.00.00
+0.00 vs 24h ago
Adoption0.0
Quality—
Momentum50.0
Community—
Quality unrated · weight redistributed
CapabilitiesCode GenerationMulti Agent
DeploymentIde Plugin
MaturityExperimental
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Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: GitHub stars, SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
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