obsidian-everywhere logo
obsidian-everywhere
★ 16
vs
crg logo
crg
★ 76

obsidian-everywhere vs crg

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.; crg: `crg` (formerly `better-code-review-graph`) is a local-first knowledge graph tool for codebases, enabling token-efficient code reviews through semantic search, call-graph resolution, and structural analysis. It integrates with AI agents via MCP for precise context provision, leveraging local ONNX embeddings or cloud models for enhanced code understanding and security scanning.

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.

crg logo
crgRAG / Knowledge Base · ★ 76

Performing token-efficient code reviews with precise context for AI agents

02

Side-by-Side Comparison

Field
obsidian-everywhere logoobsidian-everywhere
crg logocrg
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 16
★ 76
License
MIT
Apache-2.0
Install Command
npx -y obsidian-everywhere /absolute/path/to/your/vault
pip install better-code-review-graph
Updated
4d ago
1d ago
Open Source
Yes
Yes
Tags
Obsidian, Knowledge Management, AI Context
Knowledge Graph, Code Review, Semantic Search
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.
crg logocrg
01AND-logic multi-word search for code entities
02Qualified call graph resolution and bare fallback
03Dual-mode fastretrieval ONNX and cloud embeddings (Jina/Gemini/OpenAI/Cohere)
04Paginated and truncated output for large search results
05Integrated security scanning with Semgrep and heuristic rules
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.
crg logocrg
↳Performing token-efficient code reviews with precise context for AI agents
↳Conducting semantic search and call-graph resolution across a codebase
↳Analyzing the blast radius and impact of changed files within a repository
↳Running local security scans on code using heuristic rules or Semgrep engine
↳Onboarding new repositories and quickly understanding code structure and relationships
FAQ

FAQ

What is the difference between obsidian-everywhere and crg?
Both obsidian-everywhere and crg are in the RAG / Knowledge Base category. obsidian-everywhere has 16 stars, while crg has 76 stars.
Which is better, obsidian-everywhere or crg?
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 crg if Performing token-efficient code reviews with precise context for AI agents.
Is obsidian-everywhere free or open source?
Yes, obsidian-everywhere is open source on GitHub (MIT).
Is crg free or open source?
Yes, crg is open source on GitHub (Apache-2.0).
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