Contextra

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Contextra is an MCP (Model Context Protocol) Memory Server designed to equip AI agents with persistent memory. It allows agents to learn and recall past interactions and information, functioning as a structured storage and retrieval system. The system employs a two-stage retrieval workflow, optimizing token usage by first providing memory summaries for agent preview, followed by selective retrieval of full content, ensuring efficient access to comprehensive information.

Características Principales

• Employs an agent-driven architecture, keeping cognitive processing with the AI agent.
• Includes MCP-native guidance through built-in prompts for effective agent usage.
• Offers five canonical MCP tools for memory operations (write, search, retrieve, list, inspect).
• Provides local-first storage for full data control and privacy.
• 0 GitHub stars
• Features a lightweight-first design utilizing SQLite and ChromaDB, with no external dependencies.

Casos de Uso

• Enhancing GitHub Copilot's memory and contextual understanding within VS Code.
• Optimizing token usage for AI agents by implementing a two-stage memory retrieval process.
• Enabling AI agents to store, search, and retrieve relevant information from past interactions.