"Git LFS" matching MCP servers:

Deterministic, Git-Native Knowledge Graph & Truth Maintenance Engine for AI Agents.

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based, Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based organization, and team collaboration via Model Context Protocol.

Coordination for parallel coding agents: TTL file claims stored in the git common dir (visible across all worktrees), enforcement hooks that block colliding edits, agent presence, handoff notes, and a git-committed lessons knowledge base with BM25 search. Single static Go binary — no server, no database.

A lightweight, Git-backed permanent memory for AI agents.

Local-first memory layer for AI coding agents — captures issues, attempts, fixes, and decisions, and warns at git commit before you repeat a mistake.

Enables AI coding assistants to recall past lessons, bugs, and conventions from local git history with sub-5ms latency and full privacy.

Enables multiple isolated Claude sessions to read markdown knowledge bases versioned in git and deposit proposals, while only a manager role integrates changes.

An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.

Git-native long-term memory for AI agents: your markdown files are the source of truth, the search index is a disposable projection rebuilt from git, and every memory the agent writes is a reviewable git commit. Served over one OAuth-secured MCP endpoint with hybrid lexical+semantic recall and a gated, git-first commit_note write tool.

Git-native decision memory for coding agents: stores constraints, ruled-out alternatives, and warnings as git trailers and refs/notes, returning only records still in force for the file path being edited.

Open-source team memory layer for AI coding agents. Markdown-in-git, user/team/org hierarchy, MCP. Apache-2.0.

Persistent memory for AI coding agents. Builds semantic memory from git history and codebase, searchable via MCP tools.

Enables Codex, ChatGPT, and Aside to share project work memory by reading private GitHub-backed checkpoints and searching or re-reading allowed local/SSD documents through read-only MCP tools.

A self-hosted MCP server that gives AI agents shared, long-term memory over a git-backed folder of markdown, enabling persistent knowledge search, read, and write without a database.

A distributed durable notebook MCP server for high-scale agents, providing git-like pull and commit tools with automatic conflict resolution.

Gives Claude direct access to an Obsidian vault, enabling read, write, search, and automatic git sync for cross-device use.

Audit-grade, git-versioned memory for AI coding agents that enables saving, searching, editing, and rolling back facts through markdown files served via MCP.

Architectural memory layer for AI coding. Automatically extracts decisions, detects security gaps, and analyzes git history from your codebase in one command.

A composable semantic memory layer that provides cross-project recall and session context using Qdrant and OpenAI embeddings. It enables users to securely store, search, and manage persistent memories with built-in secret scrubbing for privacy.