Local Llm Obsidian Knowledge Base
L

Local Llm Obsidian Knowledge Base

A template repository containing a development container for running a local LLM and knowledge base, supporting the addition of git repositories via git subtree or git submodule and updates through the MCP client/server relationship (e.g., VS Code extensions and the Obsidian - MCP server).
2 points
5.9K

What is this project?

This is a development container template that allows you to run a local Large Language Model (LLM) with an integrated knowledge base. It combines the power of local AI processing with Obsidian's note - taking capabilities, using Model Context Protocol (MCP) for synchronization between different components.

How to use this system?

The system works by maintaining a knowledge base in Obsidian vault format, which can be synchronized with your local LLM through MCP protocol. You can add content via git repositories (using subtree or submodule) and update it through MCP clients like VS Code extensions.

Use Cases

Ideal for researchers, developers, and knowledge workers who want to maintain a personal AI - assisted knowledge base with: 1) Local privacy 2) Customizable LLM integration 3) Markdown - based knowledge management 4) Multi - client synchronization

Key Features

Local LLM Integration
Run language models locally without cloud dependencies for complete privacy and control.
Obsidian Knowledge Base
Leverage Obsidian's powerful markdown - based knowledge management with backlinks and graph view.
MCP Synchronization
Model Context Protocol enables real - time updates between different clients and the knowledge base.
Git Repository Support
Add and update knowledge content through git subtree or submodule integration.
Advantages
Complete data privacy with local processing
Customizable LLM integration tailored to your needs
Powerful knowledge management with Obsidian
Flexible synchronization through MCP protocol
Limitations
Requires technical setup knowledge
Local LLMs may have fewer capabilities than cloud alternatives
MCP protocol setup requires initial configuration

Getting Started

Clone the template
Start by cloning the template repository to your local machine.
Add your knowledge base
Add your existing knowledge base using git subtree or submodule.
Configure MCP client
Set up your MCP client (like VS Code extension) to connect to the local MCP server.
Start the system
Launch the development container and start the local LLM service.

Usage Scenarios

Research Note - Taking
Take research notes in Obsidian while having the local LLM provide relevant suggestions and connections.
Code Documentation
Maintain code documentation that stays synchronized with your actual code repositories.

Frequently Asked Questions

What is MCP protocol?
Can I use this without Obsidian?
What LLMs are supported?

Additional Resources

Obsidian Official Documentation
Complete guide to using Obsidian for knowledge management
MCP Protocol Specification
Technical details about the Model Context Protocol
Local LLM Setup Guide
Step - by - step instructions for configuring local language models

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.0K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.2K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.0K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.7K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.5K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.3K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase