A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.
Provides persistent, shared memory for AI agents via MCP, enabling retrieval of relevant memories instead of loading entire context. Allows agents across projects, machines, and tools to share a single auditable, markdown-native brain.
Provides MCP tools that give AI agents persistent, append-only memory in a git repository, letting them record observations, decisions, and corrections while retrieving context briefs, current facts, conflicts, and traceable event history without a vector database.
A local MCP server that provides agents with tools to list, read, search, inspect history and diffs, and capture unstructured text in a user-owned Git repository of durable memory.
Open, Git-native memory protocol for MCP agents: stores memories as Markdown files in a Git repo, enabling portability, auditability, and human-editable memory across different AI agents.