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InternScience/MLEvolve
InternScience/MLEvolve: Large language model (LLM) agents are increasingly applied to long-horizon tasks such as scientific discovery and machine learning engineering (MLE), where sustained self-evolution becomes a key capability. However, existing MLE agents suffer from inter-branch information isol...
AgentScore
30.5-0.01
-0.01 vs 24h ago
Adoption14.2
Quality50.0
Momentum50.3
Community32.7
Quality unrated · weight redistributed
CapabilitiesCode GenerationRag
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 stars+0.3%364→ 42.7MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 14.2.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), 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 10h ago.