DevContext Memory System

Example Use Cases

• 1

  Maintain persistent conversational and project state across sessions (messages, milestones, decisions).

• 2

  Index and semantically search code, files, and snippets using vector embeddings and ANN search.

• 3

  Unified, high-level tools to initialize/end conversations, check memory health, and retrieve consolidated context from multiple memory subsystems.

Description

DevContext (formerly Cursor10x) is a Model Context Protocol (MCP) server that maintains persistent memory for AI assistants, indexing messages, active files, milestones, decisions, episodes, code structure, and vector embeddings. It uses a Turso database for persistence and advanced vector storage to enable semantic search and approximate nearest neighbor retrieval. The system exposes unified tools for initializing and finalizing conversations, health checks, memory statistics, vector management, and automatic code indexing to boost developer productivity. Benefits include continuous context awareness, relevance-ranked retrieval, and automated code cross-referencing to make agent assistance more accurate and efficient.

Capabilities(18 total)