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cookieApril/EnvSimBench
cookieApril/EnvSimBench: Scalable AI agents training relies on interactive environments that faithfully simulate the consequences of agent actions. Manually crafted environments are expensive to build, brittle to extend, and fundamentally limited in diversity. A promising direction is to replace manua...
AgentScore
25.60.00
+0.00 vs 24h ago
Adoption9.7
Quality50.0
Momentum50.0
Community22.6
Unrated pillars contribute zero
Growing past launch · 1.38×
CapabilitiesCode GenerationResearch
DeploymentIde Plugin
MaturityExperimental
Score breakdown
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Pillar contributions
No signals on file for this pillar yet — it contributes 0 to the headline. The headline is a flat weighted sum, so a missing pillar costs its full weight (no redistribution).
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)
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, MCP registry listing
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Score envelope last computed Oct 7, 2026.