github search·agentr1-claw-r1
AgentR1/Claw-R1
AgentR1/Claw-R1: Agentic reinforcement learning (RL) has become an important post-training paradigm for turning LLMs from static chatbots into interactive agents, giving rise to representative applications such as OpenClaw. Existing work mainly focuses on policy optimization algorithms and tra...
AgentScore
27.2-0.01
-0.01 vs 24h ago
Adoption12.7
Quality50.0
Momentum50.0
Community23.9
Quality unrated · weight redistributed
CapabilitiesCode GenerationRag
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 stars189→ 38.0MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 12.7.
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 7h ago.