github search·deep-jlu-evoteam
DEEP-JLU/EvoTeam
DEEP-JLU/EvoTeam: LLM-based multi-agent systems (MAS) rely on collaboration among specialized agents to solve complex tasks. Existing methods improve MAS by refining the prompts, skills, and execution strategies of individual agents based on task feedback. However, improving individual agents d...
AgentScore
12.40.00
+0.00 vs 24h ago
Adoption0.0
Quality50.0
Momentum—
Community8.0
Unrated pillars contribute zero
CapabilitiesCode GenerationMulti Agent
DeploymentLibrary
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars+4.0%26→ 23.9MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 0.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: PyPI monthly installs, 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
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Vibe-search via embedding cosine
Integrity flags
- star_spike_no_contrib_diversity — stars 2 -> 23 (11.5x) with only 2 contributors
Score envelope last computed 3d ago.