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Awesome-LLM-Multi-Agent-Failure-Detection-and-Attribution
Awesome-LLM-Multi-Agent-Failure-Detection-and-Attribution: A curated collection of papers on failure detection, failure attribution, recovery, and learning from failures in LLM-based multi-agent systems (MAS).
AgentScore
18.00.00
+0.00 vs 24h ago
Adoption3.8
Quality50.0
Momentum50.0
Community5.0
Unrated pillars contribute zero
CapabilitiesMulti Agent
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars7→ 15.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 3.8.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: 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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