An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code
An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with
A structured memory system for AI assistants to enhance coding capabilities using database integration utilizing Claude Desktop and MCP Servers.
This system leverages multiple database types to create a comprehensive memory system for coding assistance:
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| Variable | Description | Required |
|---|---|---|
| QDRANT_HOST | Endpoint or connection string the server talks to. | Optional |
| QDRANT_API_KEY | Credential the server authenticates with. | Yes |
| SQLITE_DATABASE_URL | Endpoint or connection string the server talks to. | Yes |
| NEO4J_URL | Endpoint or connection string the server talks to. | Yes |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.