Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery
We present Eureka, a task-conditioned Meta-Agent architecture that compiles long-horizon tasks into dynamic obligation graphs with explicit acceptance semantics. During execution, Eureka forms Macro-Agents with specialized state, memory, operators, tools, verifiers, and local topology via receding-horizon planning, architecture promotion, and minimal-sufficient compilation. When bottlenecks recur, cost-benefit-gated evolution updates the local architecture under constraints. Theoretically, we establish results on regret, planning invalidation, amortization, subtree interfaces, serializability,
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- FuzzySimilar title/name (fuzzy) · 59%AgentCore-8B →
“Fuzzy title match (0.73): “Eureka: Task-Conditioned Meta-Agent Orchestration for Scient” ≈ “AgentCore-8B””
- FuzzySimilar title/name (fuzzy) · 87%SWE-agent/SWE-agent →
“Fuzzy title match (0.94): “Eureka: Task-Conditioned Meta-Agent Orchestration for Scient” ≈ “SWE-agent/SWE-agent””
- FuzzySimilar title/name (fuzzy) · 87%zhayujie/CowAgent →
“Fuzzy title match (0.94): “Eureka: Task-Conditioned Meta-Agent Orchestration for Scient” ≈ “zhayujie/CowAgent””
- FuzzyOverlapping authors or contributors · 62%Zeyi-Lin/HivisionIDPhotos →
“Shared author/contributor keys: lin”
- FuzzyOverlapping authors or contributors · 62%mudler/LocalAI →
“Shared author/contributor keys: guo”
- FuzzyOverlapping authors or contributors · 62%hiyouga/LlamaFactory →
“Shared author/contributor keys: lin”
- LinkedLinked via arxiv author · 85%Alizer Wong →
“Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery”
- LinkedLinked via arxiv author · 85%Jiacheng Cui →
“Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery”