Enforces that tasks are created with criteria, claimed by one agent with evidence, and verified by a different agent, preventing self-verification and ensuring independent validation.
Task management API for AI agents. Create, delegate, and track tasks with agent identity, delegation chains, lifecycle webhooks, and persistent context.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
Enables AI agents to manage a file-backed ticketing system directly within a local repository using a structured state machine and directory hierarchy. It enforces strict markdown schemas and provides specialized tools for claiming tasks, appending work logs, and validating ticket metadata.
Local-first task governance board for AI agents, enabling session registration, task creation, progress updates, and evidence reporting via MCP, with separation of agent claims and human acceptance.
Provides AI agents with a lightweight task-management and self-verification layer to define goals, track checkpoints, detect scope drift, and verify completion against explicit done criteria.