Enables AI coding agents and hosts to enforce deterministic repository boundaries via MCP, providing structured reads, supervised edits, snapshots, audits, and recovery with machine-readable evidence.
Enables AI coding agents to perform surgical code analysis, semantic memory, and quality enforcement via 18 specialized MCP tools, with a real-time analytics dashboard.
Enables orchestration of autonomous coding agents (Claude Code, Cursor, etc.) through an objective-native planning board with hash-chained audit trail. Humans define outcomes, agents claim and execute tasks via MCP.
Enables coding agents to build and query a verified project memory through the MCP protocol, so skills, facts, and user preferences are captured as experience and adopted only after passing independent checks. It also briefs agents at each request, flags known pitfalls live, and runs an executable review before changes are finalized.