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.
An MCP server that provides shared memory, kanban board, and agent registry for AI agents to collaborate as a team, with a live dashboard for human oversight.
MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.
MCP server that lets AI agents execute structured business processes by exposing process steps as tools with a sequenced event bus to prevent skipping steps.
MCP server that provides AI agents with persistent memory, cross-agent sharing, and context management, enabling them to remember conversations, track complex tasks, and evolve skills across tools.