github search·chenzhwsysu57-sage
chenzhwsysu57/SAGE
chenzhwsysu57/SAGE: A strong LLM strategic agent should reason prospectively over uncertain futures, adapt its strategy to opponents' behavioral tendencies, and continuously recalibrate its decision process from interaction experience. However, incorporating these sources in free-form reasoning c...
AgentScore
13.0-2.28
-2.28 vs 24h ago
Adoption0.0
Quality50.0
Momentum—
Community10.1
Unrated pillars contribute zero
CapabilitiesCode GenerationMulti Agent
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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Score envelope last computed 17h ago.