A shared working-state layer for AI coding tools that provides a persistent notebook for decisions, tasks, and handoffs, enabling seamless context sharing between Claude, Cursor, and other MCP clients.
Persistent, shared memory for Claude across sessions and clients (Code, Desktop, Cowork) — deterministic diff reads, checkpoints, cross-client task handoff, and project-wide search. 100% local and deterministic, no API keys, no LLM summarization.
A persistent memory layer for Claude Code that maintains project information, technology stack, tasks, decisions, and session history between coding sessions, eliminating the need to re-explain project context.
A local-first shared memory layer for MCP-aware agents like Claude, Codex, and Hermes, enabling persistent memory across chats and clients via Markdown files and SQLite FTS.