An MCP server that provides persistent memory for AI agents, enabling context retention across sessions and supporting vibe-loop workflows where agent promises and deliverables are tracked and validated.
MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.
MCP server for tracking decision logs and open questions in AI-assisted projects, offering tools to fetch context, list decisions and open items, and draft new decisions.
MCP server that lets AI agents manage an Agent Inbox queue via natural language. It supports listing pending items, adding new URLs with notes, and marking items as reviewed or deleted.
An MCP server for tracking issues across multiple AI agent sessions, enabling agents to file, claim, complete, review, and close issues with a web UI for monitoring.
A lightweight MCP server that provides cross-project progress tracking tools (list, refresh, read, update, mark) for agents to query and manage work status across multiple tracked projects.
