hivemind-governance

AI context governance prevents agents from losing state by enforcing checkpoints and managing the session lifecycle. It detects context drift and staleness, ensuring agents maintain context and adhere to architectural decisions throughout long coding sessions.

AI context governance is a discipline mechanism that manages the declaration, updating, and compaction of AI sessions. It operates via system prompt injection to enforce checkpoints and activate discipline skills upon session start or drift detection.

Enforce evidence discipline by activating governance skills that ensure AI claims and instructions are backed by verifiable evidence. This bootstrap gate operates every turn to validate agent actions and prevent unverified code generation.

Yes, context governance manages delegation intelligence to guide how tasks are split between subagents and how results are processed. This ensures delegated tasks maintain context integrity and adhere to established architectural decisions.

Detect and mitigate AI context drift automatically by loading a bootstrap gate every turn to enforce checkpoints. It triggers on drift detection to mitigate staleness and maintain context integrity without manual intervention.

Yes, you need to ensure the AI declares its intent before starting any coding task. This automatically loads the necessary governance skills to track and validate all subsequent actions, preventing the agent from going off-track.