Cursor10x FAQs

Question 1

What is DevContext (formerly Cursor10x)?

Accepted Answer

DevContext is an advanced Model Context Protocol (MCP) server that provides AI assistants with persistent, project-centric context awareness. It enables them to retain and recall conversation history, project details, and codebase relationships across multiple sessions, acting as a dedicated context system for developers.

Question 2

How does DevContext enhance AI development workflows?

Accepted Answer

By offering continuous context awareness, multi-dimensional memory (short-term, long-term, episodic, semantic), automated code indexing, and comprehensive context retrieval, DevContext makes AI assistants more productive, contextually intelligent, and adept at understanding complex development patterns.

Question 3

What types of memory does DevContext utilize?

Accepted Answer

DevContext combines four complementary memory types: Short-Term Memory (recent interactions), Long-Term Memory (permanent project information), Episodic Memory (chronological events and actions), and Semantic Memory (vector embeddings for similarity-based search across text and code).

Question 4

How does DevContext handle code understanding and retrieval?

Accepted Answer

DevContext automatically detects, indexes, and extracts code structures (functions, classes, variables) and their relationships. It then uses vector embeddings and semantic search to find related code fragments, provide cross-reference retrieval, and offer a deeper, unified context of your codebase to AI assistants.

Question 5

What database technology powers DevContext's memory system?

Accepted Answer

DevContext utilizes the Turso database for persistent storage. It leverages Turso's F32_BLOB and vector functions for efficient storage of vector embeddings and supports Approximate Nearest Neighbor (ANN) search for fast and accurate semantic similarity matching.

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