Enables AI agents to exchange structured work items with an auditable lifecycle, supporting send, acknowledge, block, complete, and cancel operations via a shared SQLite-backed inbox.
Enables AI agents to create, query, update, claim, hand off, and complete tasks on a local SQLite-backed, project-namespaced kanban board through stdio MCP tools, including filtering for ready/blocked/stale work and exchanging task attachments. It also lets agents list projects and manage statuses, ownership, and evidence without any server or accounts.
Enables AI agents to manage task state over MCP, including statuses, dependencies, leases, and versioning, with a token-efficient wire format and SQLite storage.
Enables any MCP-compatible agent to manage coworker agents with task queues, human approvals, schema-validated handoffs, memory, and trace logging, with local-first storage in ~/.workerlane.