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#event-sourced

@yoheinakajima: in arxiv paper #2, i tackle the last topic from paper #1: @activegraphai as an architectural affordance for self-improv…

X AI KOLs Following · 4d ago Cached

This paper introduces Regimes, an auditable, held-out-gated improvement loop built on the ActiveGraph runtime for self-improving agents. It demonstrates modest improvements on the LongMemEval dataset by autonomously discovering prompt repairs that pass static checks, sandbox execution, and held-out validation.

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#event-sourced

Regimes: An Auditable, Held-Out-Gated Improvement Loop Demonstrated on LongMemEval with ActiveGraph

arXiv cs.AI · 4d ago Cached

Regimes is an auditable, held-out-gated improvement loop built on the ActiveGraph event-sourced runtime. It diagnoses failures in AI agents, proposes repairs, and promotes them only after passing multiple gates, improving accuracy on LongMemEval by up to +0.10.

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#event-sourced

@paulbettner: Active Graph is the best, most "correct" knowledge/context engine I've come across so far (and I've tried or at least r…

X AI KOLs Following · 2026-05-23 Cached

Yohei Nakajima published his first arXiv paper, "The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems", introducing a method for agents to coordinate through persistent replayable state.

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#event-sourced

@yoheinakajima: i'm excited to open source Active Graph: an event-sourced reactive graph runtime for long-running, agents events/logs p…

X AI KOLs Following · 2026-05-20 Cached

Yohei Nakajima open-sources Active Graph, an event-sourced reactive graph runtime for long-running agents that provides persistent state, fork-and-diff agent runs, and full auditability, representing a new paradigm in agent architecture.

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