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Coder DB

by angrysky56

Coder DB is an AI memory enhancement system designed to improve coding capabilities using database integration. It leverages Claude Desktop and MCP Servers to provide a structured memory system for AI assistants.

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What is Coder DB?

Coder DB is a structured memory system for AI assistants that enhances coding capabilities by integrating multiple database types: Qdrant Vector Database for semantic search, SQLite Database for structured algorithm storage, and a Knowledge Graph for representing relationships between coding concepts.

How to use Coder DB?

The system can be used by storing code snippets, algorithms, and coding concepts in the respective databases. Retrieval is done through semantic search in Qdrant, SQL queries in SQLite, and graph analytics in the Knowledge Graph. The stored information can be used for problem-solving, pattern learning, and project setup.

Key features of Coder DB

  • Semantic code search and retrieval

  • Structured algorithm storage with versioning

  • Knowledge graph representation of coding concepts

  • Enhanced problem-solving workflow

  • Automated documentation and quality assessment

  • Project setup and boilerplate generation

  • Access Controls

  • Backup & Recovery

  • Sensitive Information Handling

  • Usage Tracking

  • Performance Metrics

Use cases of Coder DB

  • Enhanced problem-solving by retrieving relevant code snippets and algorithms

  • Pattern learning and storage for reusable code patterns

  • Project setup and boilerplate generation for new projects

  • Improving code quality through automated documentation and assessment

  • Tracking usage patterns to identify knowledge gaps

FAQ from Coder DB

What is Qdrant used for?

Qdrant is used for storing and retrieving code snippets, patterns, and solutions by semantic meaning.

What kind of data should I store in the SQLite database?

The SQLite database is used for maintaining a structured catalog of algorithms with proper versioning.

How does the Knowledge Graph help?

The Knowledge Graph represents complex relationships between coding concepts, patterns, and solutions, allowing for advanced ontology and graph analytics.

How can I contribute to Coder DB?

Contribute by storing high-quality, well-documented code, regularly reviewing and updating stored patterns, and providing feedback on usage.

What are the future enhancements planned for Coder DB?

Future enhancements include advanced code quality assessment, integration with version control systems, learning from usage patterns, automated documentation generation, custom IDE plugins, multi-modal storage, natural language interface, and a performance benchmark database.