obsidian-everywhere
★ 16
vs
stashbase
★ 1.1k
obsidian-everywhere vs stashbase
obsidian-everywhere: Obsidian Everywhere transforms Obsidian notes into a structured graph and semantic knowledge base, providing token-budgeted AI context for remote agents. It integrates safe editing, optional local semantic search, and Git-backed version control, ensuring data integrity while keeping your vault on your local machine.; 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.
01
TL;DR
obsidian-everywhereRAG / Knowledge Base · ★ 16
Transform a linked vault into focused AI context by combining exact search, semantic search, and graph traversal to create token-budgeted context packages for AI models.
stashbaseRAG / Knowledge Base · ★ 1.1k
When to choose:
- 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.
When to skip:
- 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.
02
Side-by-Side Comparison
Field
obsidian-everywherestashbaseCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 16
★ 1.1k
License
MIT
Apache-2.0
Install Command
npx -y obsidian-everywhere /absolute/path/to/your/vault
brew install --cask liliu-z/stashbase/stashbase
Updated
4d ago
1d ago
Open Source
Yes
Yes
Tags
Obsidian, Knowledge Management, AI Context
Local Files, RAG, AI Agents
03
Features
obsidian-everywhere01Graph + semantic context engine: Parses markdown, indexes with SQLite FTS5, and uses in-memory graphology for rich graph traversal and token-budgeted context bundles.
02Remote Vault Bridge: Exposes graph and guarded write tools over authenticated Streamable HTTP, allowing external agents to access and modify your local vault securely.
03Optional local semantic search: Runs a multilingual embedding model entirely on your machine for meaning-based search, without requiring external API keys or cloud services.
04Safe writes and resilient mounts: Features partial edits, dry-run bulk operations, rollback snapshots, recoverable deletion, and a Beta mount guard for data integrity.
05Reviewable Git checkpoints: Allows agents to inspect repository status, bounded diffs, and local history, with commits and pushes requiring explicit preview and one-use approval IDs.
stashbase01Extracts searchable text from various formats including PDFs, DOCX, images (OCR), audio, and video (transcription).
02Semantic search capabilities to find relevant context by meaning, supported by an AI Index.
03Connects and shares searchable context across Claude, Codex, and other MCP clients and built-in agents.
04Maintains local files as the source of truth, with indexes and derived data stored separately.
04
Use Cases
obsidian-everywhere↳Transform a linked vault into focused AI context by combining exact search, semantic search, and graph traversal to create token-budgeted context packages for AI models.
↳Enable external servers or agents to use and edit your local Obsidian vault's context via an authenticated HTTP endpoint, allowing remote reasoning and modification.
↳Review and checkpoint vault changes with Git, allowing agents to inspect repository state, create commits from explicit file lists, and push approved changes to an existing upstream.
stashbase↳Providing AI agents with searchable access to research papers and contracts stored locally.
↳Enabling chatbots to answer questions based on internal documentation, scanned documents, and recordings.
↳Developers wanting to query project design documents and architecture notes using a built-in AI agent.
↳Organizing and searching personal knowledge bases that primarily consist of diverse local file types.
05
Best For
obsidian-everywhere—
stashbaseTrending
FAQ
FAQ
What is the difference between obsidian-everywhere and stashbase?
Both obsidian-everywhere and stashbase are in the RAG / Knowledge Base category. obsidian-everywhere has 16 stars, while stashbase has 1.1k stars.
Which is better, obsidian-everywhere or stashbase?
The best choice depends on your use case. Choose obsidian-everywhere if Transform a linked vault into focused AI context by combining exact search, semantic search, and graph traversal to create token-budgeted context packages for AI models., and stashbase if Providing AI agents with searchable access to research papers and contracts stored locally..
Is obsidian-everywhere free or open source?
Yes, obsidian-everywhere is open source on GitHub (MIT).
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
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