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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
8.8-0.33
-0.33 vs 24h ago
Adoption4.0
Quality—
Momentum56.7
Community5.0
Quality unrated · weight redistributed
CapabilitiesCode GenerationResearch
DeploymentIde Plugin
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 stars2→ 8.0MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 4.0.
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. Quality is Unrated — agent has no benchmark results yet.