Akashic MCP¶
Welcome to the Akashic MCP documentation. Akashic MCP enables your AI assistants to remember information across conversations and sessions, making them more helpful and context-aware.
What is Akashic MCP?¶
Akashic MCP is an MCP (Model Context Protocol) service that provides persistent memory capabilities to your AI assistants. Once connected, your AI assistant can:
- Remember information across conversations and sessions
- Search memories using intelligent semantic search
- Organize information into thematic collections
- Maintain context across multiple projects and tasks
- Store and retrieve important information automatically
Key Features¶
1. Persistent Memory¶
Your AI assistant can remember important information, preferences, and decisions across all conversations and sessions.
2. Intelligent Search¶
Find information from previous conversations using natural language queries - the system understands meaning, not just keywords.
3. Collection Management¶
Organize your memories into collections by topic, project, or context for better organization.
4. Automatic Integration¶
Works seamlessly with your favorite IDE or LLM client - no manual intervention needed.
5. Secure Authentication¶
Uses OAuth 2.0 for secure, automatic authentication with your account.
Quick Start¶
To start using Akashic MCP:
- Installation: Follow the Installation Guide to connect your IDE or LLM client (Cursor, ChatGPT, VSCode, or Claude Desktop)
- Getting Started: See the Getting Started guide for a quick overview
- Using MCP: Once connected, your AI assistant will automatically use Akashic MCP to remember and retrieve information
Additional Resources¶
- Installation Guide - Connect ChatGPT, Cursor, VSCode, or Claude Desktop
- Getting Started - Quick start guide
- Memory Management - Learn how to organize and use memories effectively
Support¶
For more information or support:
- Discord Community: Join our Discord server to get support, share feedback, ask questions, and connect with other users
- Documentation: Consult the complete documentation for detailed guides and API reference
- Repository: Visit the project repository for source code and issues