Enables writing and reading diary entries via MCP, with optional mood tags, using Supabase for storage and supporting streamable HTTP for public access.
Enables any MCP-capable AI app to read and write a single, locally stored, user-owned journal file, so memory persists across different assistants without a cloud account. Entries are append-only and cryptographically chained, with tools for waking briefings, writing notes, searching, pinning, verifying integrity, and exporting backups.
A read-only MCP server that gives AI access to a local journal vault of transcribed handwritten diaries, offering tools to search entries, read them, and retrieve profile, timeline, and people information.
Enables AI agents to collaborate via shared blackboard state, multi-agent deliberation, human-in-the-loop proposal approval, operating-mode control, and audit logging through MCP.
Enables AI agents and humans to collaboratively manage kanban boards and Markdown documentation via MCP tools, with stable item keys, revision-safe editing, and full audit trails.