stashbase vs rosetta
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.; rosetta: Rosetta is an MCP server providing AI assistants with searchable access to comprehensive MikroTik RouterOS documentation, including configuration pages, command trees, hardware specs, and YouTube transcripts. It uses SQLite FTS5 for efficient SQL-as-RAG retrieval, avoiding complex vector databases, and can be deployed on MikroTik routers or locally with Bun.
TL;DR
- 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.
Querying specific RouterOS configuration details, such as DHCP server properties or bridge VLAN setup.
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