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AutoRSE
AutoRSE: AutoRSE: A benchmark and evaluation framework for LLM agents in autonomous recommender system research and optimization.
AgentScore
22.80.00
+0.00 vs 24h ago
Adoption3.2
Quality50.0
Momentum100.0
Community5.0
Unrated pillars contribute zero
CapabilitiesMulti AgentResearch
DeploymentLibrary
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars5→ 13.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 3.2.
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, PyPI monthly installs
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Score envelope last computed 3d ago.