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AGI-Eval-Official/DailyReport
AGI-Eval-Official/DailyReport: Search Agents (SAs) typically leverage large language models (LLMs) to support complex information-seeking tasks by autonomously exploring web sources and synthesizing information into comprehensive responses. For SAs evaluation, prior benchmarks mainly focus on specialized ta...
AgentScore
8.2-1.28
-1.28 vs 24h ago
Adoption4.3
Quality—
Momentum50.0
Community5.0
Quality unrated · weight redistributed
CapabilitiesCode GenerationResearch
DeploymentIde Plugin
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars5→ 13.0MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 4.3.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: 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, PyPI monthly installs
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Score envelope last computed 9h ago. Quality is Unrated — agent has no benchmark results yet.