A 6-step roadmap: self-evolving AI agents with procedural graphs
MaryamMiradi · x · 2026-09-10
A practitioner outlines a 6-step roadmap from flat agents to self-evolving agents built on Procedural Graphs, inspired by Google-affiliated research. Instead of deciding the next step from an ever-growing action history — which leads to out-of-order tool calls, lost objectives, and repeated failures — the graph represents actions, skills, tools, and task states as nodes with explicit allowed transitions, attaching conditions, guidance, and pitfalls to edges. Knowledge Graphs answer what the agent knows; Procedural Graphs answer what it should do next.
Related event: Google Proposes Procedural Graphs to Steer Long-Horizon AI Agents(3 posts)→
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