Alignment in Time: Peak-Aware Orchestration for Long-Horizon Agentic Systems | ScienceToStartup | ScienceToStartup

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References (21)

[1]

BMAM: Brain-inspired Multi-Agent Memory Framework

2026Yang Li, Jiaxiang Liu et al.

[2]

Beyond Rule-Based Workflows: An Information-Flow-Orchestrated Multi-Agents Paradigm via Agent-to-Agent Communication from CORAL

2026Xinxing Ren, Quagmire Zang et al.

[3]

Orchestrator: Active Inference for Multi-Agent Systems in Long-Horizon Tasks

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"Develop APEMO, an orchestration tool for maintaining reliability in long-horizon AI agent systems that optimizes resource allocation based on temporal-affective signals."

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Alignment in Time: Peak-Aware Orchestration for Long-Horizon Agentic Systems

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References (21)

Founder's Pitch

"Develop APEMO, an orchestration tool for maintaining reliability in long-horizon AI agent systems that optimizes resource allocation based on temporal-affective signals."

Commercial Viability Breakdown

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Alignment in Time: Peak-Aware Orchestration for Long-Horizon Agentic Systems

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Build This Paper

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References (21)

Founder's Pitch

"Develop APEMO, an orchestration tool for maintaining reliability in long-horizon AI agent systems that optimizes resource allocation based on temporal-affective signals."

Commercial Viability Breakdown

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