Enables AI agents to maintain project continuity through a file-based state hub with tasks, phases, and handoff snapshots. Provides MCP tools for reading and updating project state, with gatekeeping enforced via real-state evaluation and per-tool authorization.
MCP server for task management, project knowledge, workspace trust, runner sandboxes, extension registry, and workflow prompts, enabling AI agents to manage tasks and collaborate locally.
A local-first MCP server and CLI that gives coding agents structured project memory, task contracts, context packs, backlog workflows, and verification evidence, storing data in reviewable Markdown/YAML with a fast SQLite index.
Centralized multi-project state & handoff MCP server that lets AI agents save checkpoints in one session and resume in another with minimal token overhead, including git snapshots and code-graph integration.
Shared memory and orchestration for coding agents, enabling persistent knowledge, multi-agent coordination, and a canonical workflow across MCP-compatible AI clients.