github search·shidingz-edv
shidingz/EDV
shidingz/EDV: Experience-driven self-evolution is critical for large language model (LLM) agents to improve through open-world interaction. However, existing experience learning methods mostly rely on single-agent loops, where the same agent executes tasks, summarizes outcomes, and determin...
AgentScore
18.7-3.70
-3.70 vs 24h ago
Adoption3.5
Quality50.0
Momentum38.0
Community11.7
Unrated pillars contribute zero
Growing past launch · 1.55×
CapabilitiesCode GenerationRag
DeploymentIde Plugin
MaturityExperimental
Score breakdown
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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, PyPI monthly installs, 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, MCP registry listing
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