Context Portal FAQs

Question 1

How does Context Portal compare to traditional file-based context management?

Accepted Answer

Context Portal offers a more robust and queryable database backend (SQLite per workspace) compared to simple text file-based memory banks, making it more reliable and efficient for managing and retrieving project context.

Question 2

What is Context Portal and what does it do?

Accepted Answer

Context Portal (ConPort) is a tool that creates a project-specific knowledge graph to help AI assistants understand your software projects better. It enables more accurate and helpful AI responses through context-aware Retrieval Augmented Generation (RAG).

Question 3

What are the prerequisites for using Context Portal?

Accepted Answer

You'll need Python 3.8 or higher and optionally `uv` for managing virtual environments. Ensure Python is added to your system's PATH. You can install ConPort from PyPI or clone the Git repository.

Question 4

What are the key features of Context Portal?

Accepted Answer

Key features include structured context storage using SQLite, an MCP server built with Python/FastAPI, multi-workspace support, vector data storage for semantic search, and the ability to build a dynamic project knowledge graph.

Question 5

How does Context Portal improve AI assistant performance?

Accepted Answer

By storing project information (decisions, tasks, architecture) in a structured way with semantic search capabilities, Context Portal allows AI assistants to quickly access and use relevant context for improved, accurate responses.

Context Portal

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