Provides persistent storage for AI agents via MCP and REST API, enabling saving and retrieving text, code, configs, and files with full-text search, tags, version history, and GitHub backup.
Enables AI agents to securely read and write to an Obsidian-compatible Markdown vault with per-agent access control, audit logging, and conflict resolution.
Provides a shared, persistent workspace with versioned files, semantic search, run logging, and cross-agent provenance, allowing agents to maintain context across sessions and tools.
Provides a secure, constrained filesystem workspace for LLM agents to manage files, notes, and code artifacts via stdio or remote HTTP. It features granular access controls, including extension whitelisting, storage quotas, and immutable paths for safe automated file operations.
MCP server for file checkpointing and undo, enabling AI agents to safely read, write, and edit files with full snapshot history and revert capabilities.