github search·guohezuy-autoras
guohezuy/AutoRAS
guohezuy/AutoRAS: The automated design of agentic systems offers a promising pathway for scaling large language models (LLMs) beyond single-agent reasoning. While prior work has advanced task performance through handcrafted or automatically generated multi-agent workflows, robustness is often t...
AgentScore
8.40.00
+0.00 vs 24h ago
Adoption0.0
Quality—
Momentum60.0
Community8.0
Quality unrated · weight redistributed
CapabilitiesCode GenerationMulti Agent
DeploymentLibrary
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars0→ 0.0MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 0.0.
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 1d ago. Quality is Unrated — agent has no benchmark results yet.