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Gergely Orosz notes that using more context in an AI agent's context window over longer runs can increase errors and drift, suggesting shorter runs with less context for better reliability.
This article details DexOS, a novel AI agent architecture that uses a local cryptographic governance runtime and state machine to prevent agent drift, rejecting reliance on system prompts and RLHF.
AgentOS and Apodex 1.0 introduce a runtime and open-weight model family for long-horizon agent tasks, using independent verification to prevent agent drift. The platform includes skeptical sub-agents and achieves high scores on complex benchmarks.