Hatchdoor vs stashbase
Hatchdoor: Hatchdoor is an agent-native, self-hosted web app for managing Obsidian-style Markdown vaults, offering a fast web UI for browsing, searching, and editing notes. It provides AI agents with first-class access to the vault via the Model Context Protocol (MCP) for reading, searching, creating, and editing notes safely. Your Markdown files remain the source of truth, with Hatchdoor building a disposable SQLite read model for performance and features like keyword and semantic search.; stashbase: StashBase enables AI agents to search and utilize content from your local files, including PDFs, DOCX, images, audio, and video. It creates a searchable index from your folders, allowing agents to find relevant context by meaning rather than just keywords.
TL;DR
Individuals or teams with a folder of Markdown notes needing a private web interface.
- You want a desktop app that indexes folders of PDFs, DOCX, images, audio and video and shares them with Claude, Codex and other MCP clients.
- Your files must stay the source of truth: the index can be rebuilt, and removing a folder never deletes files.
- You want exact text search with no key, and semantic search only if you opt in.
- Your documents cannot leave the machine and you need semantic search: it sends content to OpenAI or OpenRouter.
- You are on Linux and need official support: Linux builds are community-supported.
- You only need one file converted now and then: an MCP converter is lighter.
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