The Log Is the Agent

Computer Science > Artificial Intelligence

Submitted on 21 May 2026

Title: The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems

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Abstract: Most agent frameworks are built around the language model: a conversation loop comes first, then tools, then rules, and finally a logging layer bolted on for observability, with state persisted as retrievable "memory."

We describe ActiveGraph, a runtime that inverts this arrangement. The append-only event log is the source of truth; the working graph is a deterministic projection of that log; and behaviors-ordinary functions, classes, LLM-backed routines, or logic attached to typed edges-react to changes in the graph and emit new events. No component instructs another; coordination happens entirely through the shared graph.

This single design decision yields three properties that retrieval-and-summarization memory systems do not provide:

• Deterministic replay of any run from its log
• Cheap forking that branches a run at any event without re-executing the shared prefix
• End-to-end lineage from a high-level goal down to the individual model call that produced each artifact

We present the architecture, a determinism contract that makes replay sound, and a worked diligence example whose full causal structure is reconstructable from the log alone. We discuss-without claiming to demonstrate-why this substrate is unusually well suited to self-improving agents, and how it extends the BabyAGI lineage and prior graph-memory research.

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