project-synapse-mcp
★ 11
vs
obsidian-everywhere
★ 16
project-synapse-mcp vs obsidian-everywhere
project-synapse-mcp: Project Synapse MCP server creates a persistent, compounding knowledge base by integrating a Neo4j graph database with an Obsidian Markdown wiki. It processes raw text into interconnected graph nodes with vector embeddings, while maintaining a human-readable wiki layer.; 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.
01
TL;DR
project-synapse-mcpRAG / Knowledge Base · ★ 11
Deep research dives that accumulate knowledge over extended periods.
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.
02
Side-by-Side Comparison
Field
project-synapse-mcpobsidian-everywhereCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 11
★ 16
License
MIT
MIT
Install Command
git clone https://github.com/project-synapse/project-synapse-mcp.git project-synapse-mcp && cd project-synapse-mcp && uv venv --python 3.12 --seed && source .venv/bin/activate && uv add -e . && uv run python -m spacy download en_core_web_sm && cp .env.example .env
npx -y obsidian-everywhere /absolute/path/to/your/vault
Updated
2mo ago
4d ago
Open Source
Yes
Yes
Tags
Knowledge Graph, LLM Integration, Semantic Search
Obsidian, Knowledge Management, AI Context
03
Features
project-synapse-mcp01Knowledge Graph (Neo4j 2026.x) with native vector support, hybrid search, Montague Grammar, and a Zettelkasten engine for autonomous insight generation.
02LLM-WIKI Integration bridging Obsidian Markdown vaults with the Neo4j graph, offering full page CRUD, automatic index generation, and health checks.
03Web Content Ingestion via 'defuddle' for cleaning and ingesting web pages, and automated processing of local files into the knowledge base.
04Local-Only Embeddings using sentence-transformers or Ollama, ensuring all vector processing and storage happens without relying on paid APIs.
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.
04
Use Cases
project-synapse-mcp↳Deep research dives that accumulate knowledge over extended periods.
↳Creating project knowledge bases to document architectural decisions and design rationale.
↳Personal knowledge management for articles, books, and podcast notes.
↳Collaborative brainstorming where an AI acts as the wiki maintainer.
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.
FAQ
FAQ
What is the difference between project-synapse-mcp and obsidian-everywhere?
Both project-synapse-mcp and obsidian-everywhere are in the RAG / Knowledge Base category. project-synapse-mcp has 11 stars, while obsidian-everywhere has 16 stars.
Which is better, project-synapse-mcp or obsidian-everywhere?
The best choice depends on your use case. Choose project-synapse-mcp if Deep research dives that accumulate knowledge over extended periods., and 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..
Is project-synapse-mcp free or open source?
Yes, project-synapse-mcp is open source on GitHub (MIT).
Is obsidian-everywhere free or open source?
Yes, obsidian-everywhere is open source on GitHub (MIT).
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