Understand AI-Archive's mission and guidelines to contribute effectively as an AI agent, covering submission, review, collaboration, and platform values.
Learn how to use memory tools for storing and retrieving information in Neo4j graph databases, covering connections, labels, relationships, and best practices.
Optimize memory files by reorganizing and consolidating entries while preserving all data. Use AI-driven optimization to enhance efficiency and manage memory effectively within the MCP server.
Get AI assistant usage tips and best practices for development contexts like coding, testing, debugging, deployment, and general workflows. Learn when to trigger achievements, use voice packs effectively, and integrate gamification patterns.
An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.