Provides persistent, local-first memory for coding agents with Markdown as the source of truth, exposed via CLI, loopback API, MCP, and Codex hooks for context retrieval and durable writes.
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.
A local-first, Markdown-native AI agent layered memory system that provides MCP tools for storing, recalling, exporting, and importing memories with types like working, persona, and fact.
Local, private memory layer for notes and files with temporal reasoning and citation. Enables agents to query and persist memories via the Model Context Protocol.
Persistent memory for MCP-powered coding agents, allowing LLMs to remember preferences, project context, and decisions across sessions via Markdown files.