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Context Portal

Builds a project-specific knowledge graph to supercharge AI assistants with context-aware Retrieval Augmented Generation (RAG) capabilities.

About

Context Portal is a memory bank that helps AI assistants understand your software projects better. It stores project information, like decisions and architecture, in a structured knowledge graph that AI can access. Enhanced by vector embeddings for semantic search, ConPort provides a robust backend for Retrieval Augmented Generation (RAG), enabling AI assistants to deliver more accurate, context-aware responses within IDEs and other interfaces.

Key Features

  • Multi-workspace support via workspace_id
  • 209 GitHub stars
  • Enables building a dynamic project knowledge graph with explicit relationships
  • Structured context storage using SQLite (one DB per workspace)
  • Vector data storage and semantic search capabilities
  • MCP server built with Python/FastAPI

Use Cases

  • Managing and querying project-specific knowledge for AI tools
  • Enabling context-aware development in IDEs
  • Improving AI assistant accuracy through Retrieval Augmented Generation (RAG)
Context Portal: Supercharge AI with Project Knowledge