A local-first MCP server that provides a shared Markdown-based memory for AI coding agents, enabling cross-agent context persistence via tools like memory_search and memory_capture.
An MCP server that logs AI-assisted scientific computing sessions, capturing prompts, responses, decisions, and environment snapshots to human-readable markdown files for reproducibility.
An MCP server that lets multiple AI coding agents share state, preserve context across sessions, and coordinate via a knowledge graph, messaging, and branch-preserving checkpoint/resume with conflict handling.
This MCP server provides a local-first control plane for coding agents, enabling task routing, contract management, and shared learning across multiple AI vendors via markdown files.