OrgX is coordination infrastructure for AI-native teams. It gives your LLM a persistent organizational layer: initiatives with milestones and tasks, human-in-the-loop decision workflows, specialist agent delegation, and cross-session memory that survives tool switching. What you can do with OrgX via MCP: Scaffold initiatives — decompose a goal into workstreams, milestones, and tasks in one call Manage decisions — create, review, approve, or reject decisions with audit trails Delegate to specialist agents — spawn tasks for domain agents (engineering, marketing, product, sales, operations, design) and monitor their progress Query organizational memory — search past decisions, artifacts, and learnings across initiatives Track progress — get initiative health, agent status, blockers, and morning briefs Plan and prioritize — score queues, get next-action recommendations, and run autonomous sessions with budget guardrails OrgX is built for solo founders and small teams who work across multiple AI tools and lose context between sessions. Instead of manually shuttling context between Claude, Cursor, and ChatGPT, OrgX holds the organizational graph so every tool sees the same state.