Knowledge Management · Developer Tools
jakedismo/kuzumem-mcp
A TypeScript implementation of a distributed memory bank as an MCP (Model Context Protocol) tool, storing memories in a KùzuDB graph database with repository and branch filtering capabilities.
{
"mcpServers": {
"KuzuMem-MCP": {
"command": "npx",
"args": [
"-y",
"ts-node",
"/absolute/path/to/kuzumem-mcp/src/mcp-stdio-server.ts"
],
"env": {
"PORT": "<PORT>",
"HOST": "<HOST>",
"DB_FILENAME": "<DB_FILENAME>",
"HTTP_STREAM_PORT": "<HTTP_STREAM_PORT>"
}
}
}
}DB_FILENAMEHTTP_STREAM_PORTOPENAI_API_KEYANTHROPIC_API_KEYBranch isolation is achieved by using a graph-unique identifier for entities, enabling a centralized memory bank while allowing repository-specific and branch-specific views. Fully compliant with MCP specification for seamless integration with IDEs and AI agents.
AI-Powered Memory Optimization - Advanced reasoning models (OpenAI o3/o4-mini, Claude 4) with MCP sampling for intelligent memory management
Production-Ready Safety - Automatic snapshot system with guaranteed rollback capabilities
Context-Aware Intelligence - MCP sampling analyzes actual memory state for adaptive optimization strategies
Unified Tool Architecture - 12 consolidated tools covering all memory bank operations
Thread-Safe Singleton Pattern - Ensures each resource is instantiated only once, with proper thread safety
Distributed Graph Structure - Follows the advanced memory bank specification using a KùzuDB graph
Repository & Branch Awareness - All operations are contextualized by repository name and branch
Asynchronous Operations - Uses async/await for better performance
Multiple Access Interfaces - Access via CLI and multiple MCP server implementations
KùzuDB Backend - Utilizes KùzuDB for graph-based memory storage and querying
memory-bank
Initialize and manage memory bank metadata
entity
Create, update, delete, and retrieve all entity types (components, decisions, rules, files, tags)
introspect
Explore graph schema and metadata
context
Manage work session context
query
Unified search across contexts, entities, relationships, dependencies, governance, history, and tags
associate
Create relationships between entities
analyze
Run graph algorithms (PageRank, K-Core, Louvain, Shortest Path)
detect
Detect patterns (strongly/weakly connected components)
bulk-import
Efficient bulk entity import
search
Full-text search across all entity types with KuzuDB FTS integration
delete
Safe deletion of entities with dependency validation and bulk operations
memory-optimizer
AI-powered core memory optimization with MCP sampling, snapshots, and rollback
Details on this page are taken from the project's README. Open README
1Panel-dev/MaxKB
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.
bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).
supermemoryai/supermemory
State-of-the-art memory and context engine for AI.
topoteretes/cognee
Cognee - The Free Open-Source AI Memory Platform for Agents.
makenotion/notion-mcp-server
For the best experience, use Remote Notion MCP, our official hosted MCP server. This repository is a separate, self-hosted MCP server implementation that is no longer actively maintained or supported. Please use Remote Notion MCP instead.
cyberagiinc/devdocs
[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.