obsidian-everywhere logo
obsidian-everywhere
★ 16
vs
deep-research logo
deep-research
★ 4.7k

obsidian-everywhere vs deep-research

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.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.

01

TL;DR

obsidian-everywhere logo
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.

deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

02

Side-by-Side Comparison

Field
obsidian-everywhere logoobsidian-everywhere
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 16
★ 4.7k
License
MIT
MIT
Install Command
npx -y obsidian-everywhere /absolute/path/to/your/vault
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
4d ago
4mo ago
Open Source
Yes
Yes
Tags
Obsidian, Knowledge Management, AI Context
AI Research, LLM, Privacy-focused
03

Features

obsidian-everywhere logoobsidian-everywhere
01Graph + 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.
deep-research logodeep-research
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04

Use Cases

obsidian-everywhere logoobsidian-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.
deep-research logodeep-research
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ

FAQ

What is the difference between obsidian-everywhere and deep-research?
Both obsidian-everywhere and deep-research are in the RAG / Knowledge Base category. obsidian-everywhere has 16 stars, while deep-research has 4.7k stars.
Which is better, obsidian-everywhere or deep-research?
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 deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is obsidian-everywhere free or open source?
Yes, obsidian-everywhere is open source on GitHub (MIT).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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