Coder Db
Enhances programming workflows by leveraging vector embeddings, structured databases, and knowledge graphs to intelligently store, retrieve, and analyze code patterns.
About
Coder DB is an AI memory enhancement system designed to improve coding capabilities by integrating various database technologies. It utilizes Qdrant vector database for semantic code search, SQLite for structured algorithm storage and versioning, and a knowledge graph to represent relationships between coding concepts. The system enables contextual recall of best practices, algorithms, and solutions, thereby enhancing problem-solving, pattern learning, and project setup workflows. Coder DB aims to provide AI assistants with a comprehensive memory system for coding assistance, leading to more efficient and informed programming practices.
Key Features
- Semantic code search and retrieval via Qdrant vector database
- Knowledge graph integration for representing coding concept relationships
- Integration with Claude Desktop and MCP Servers
- Structured algorithm storage and versioning using SQLite
- Automated documentation generation for code patterns
- 2 GitHub stars
Use Cases
- Streamlined pattern learning and storage with automated documentation and metadata enrichment
- Enhanced problem-solving workflow by providing contextual code recall
- Automated project setup and boilerplate generation for new projects
