A Model Context Protocol server that stores personal context as structured Markdown files with a knowledge graph, enabling AI agents to query identity, devices, servers, and projects on-demand.
A local-first MCP server that gives AI clients a shared, user-owned memory and skills plane, enabling persistent memory across apps via the Model Context Protocol.
A Model Context Protocol server that exposes a versioned brand package (tokens, rules, recipes, media rights, and audit gates) as resources, tools, and prompts for AI agents. It enables agents to plan and audit on-brand UI, image, motion, and video outputs while remaining read-only and credential-free.
A Model Context Protocol server providing pre-curated canonical memory, prose/code provenance checking, and benchmark metrics to improve accuracy and reduce costs across AI tools.
A production-ready Model Context Protocol suite over Streamable HTTP providing a sandboxed file server with tools, resources, prompts, and both manual and AI-driven clients.