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Unknown-zoo/AgentMob
Unknown-zoo/AgentMob: Individual-level mobility prediction is central to urban simulation, transportation planning, and policy analysis. Supervised sequence models achieve strong accuracy but require task-specific training and offer limited decision-level transparency. Recent LLM-based methods impr...
AgentScore
11.50.00
+0.00 vs 24h ago
Adoption0.0
Quality50.0
Momentum—
Community5.0
Unrated pillars contribute zero
Growing past launch · 1.53×
CapabilitiesCode GenerationPlanning
DeploymentIde Plugin
MaturityExperimental
Score breakdown
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Pillar contributions
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 Sep 28, 2026.