NexFlow Spec Proposes Versioning AI Agent Behavior Separately from Identity

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An open specification project called NexFlow is addressing a growing blind spot in AI developer workflows: agent names remain static even as their underlying models, instructions, memory, and permissions change significantly. The project's draft RFC-0004 proposes separating a stable agent identity — its role and long-term responsibilities — from a versioned agent definition that captures every component capable of materially altering its behavior or authority. Components such as model profiles, prompt sets, retrieval sources, memory policies, and autonomy boundaries would each be versioned and referenced within a single agent definition record. This approach aims to make behavioral changes reviewable before execution, rather than letting consequential updates go unnoticed beneath an unchanged agent name. NexFlow currently offers no production runtime or CLI, focusing instead on giving teams a shared language for auditing agent configurations.

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