Enables AI agents to add decision drafts, evidence, and counterarguments to a shared local decision state, while users confirm or reopen decisions in a web console. Prevents unverified agent answers from being silently turned into code.
Enables AI agents to record and retrieve architectural decision records, check precedent before making decisions, and avoid repeating past mistakes or contradicting settled choices.
Enables AI agents to query a team's decision ledger to check if past decisions are still binding before taking action, via the decisions:// MCP protocol.
Enables coding agents to store, recall, and manage persistent memory across sessions through MCP tools, with reviewable handoffs and SQLite-backed local storage.
Enables AI agents to query project memory by linking code changes to the conversations that produced them, allowing retrieval of past decisions and constraints directly from the codebase.
Persistent decision memory and contradiction detection for AI coding agents. Enforces architectural consistency across sessions — the agent cannot code until it loads prior decisions. Human resolves conflicts on a dashboard or in chat.
