26 hours, zero prompts: an architecture for self-verifying autonomous AI agents
epicskyes · reddit · 2026-09-26
The author is building a control-memory-execution-verification architecture for autonomous AI agents that can pursue high-level goals for days on a real computer without step-by-step human supervision. Key design: claims and actions must leave evidence, important state lives outside the context window, failures are preserved rather than hidden, and independent agents can challenge and verify work so any decision can be reconstructed. In the live run, Codex acts as the execution/proof agent while two independent 'spotter' agents audit checkpoints, hunt for unsupported assumptions, missing tests and wrong conclusions, and send targeted questions back to Codex, which investigates, falsifies or confirms, repairs, and creates durable checkpoints. The loop: plan → execute → test → challenge → falsify → repair → independently verify → persist → resume. The broader goal is a general-purpose, high-assurance agent architecture with swappable models and persistent memory, provenance, verification and recovery.
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