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awesome-agent-rl-environments
awesome-agent-rl-environments: A curated list of training & evaluation environments for LLM/VLM agents (SWE-Gym, GEM, RAGEN, AgentGym, WebArena, OSWorld, ToolBench…). Updated weekly.
AgentScore
7.90.00
+0.00 vs 24h ago
Adoption3.3
Quality—
Momentum50.0
Community5.0
Quality unrated · weight redistributed
CapabilitiesBrowsingRag
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
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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Vibe-search via embedding cosine
Score envelope last computed 23d ago. Quality is Unrated — agent has no benchmark results yet.