Kybernesis Documentation Hub

Welcome to Kybernesis - the persistent memory layer your AI agents have been missing.

What is Kybernesis?

Kybernesis is a unified memory orchestration platform that provides infinite context for AI agents and users. It ingests content from multiple sources (uploads, chat, OAuth connectors), stores it intelligently across memory tiers, and retrieves it via hybrid semantic search.

Key Features:

• Infinite Context: Store unlimited memories with sub-100ms retrieval
• Hybrid Search: Vector similarity + metadata filtering for precise results
• Auto-Organization: Background sleep agent automatically tags, links, and tiers memories
• MCP Integration: Native Model Context Protocol support for AI agents
• OAuth Connectors: Sync from Google Drive, Notion, and more
• Knowledge Graph: Interactive topology visualization of memory relationships

Quick Start

New to Kybernesis? Start here:

• Getting Started Guide - Set up your account and ingest your first memory
• Core Concepts - Understand how Kybernesis works

Documentation

For Users

• Memory System - How memories are stored, chunked, and organized
• Retrieval Guide - Search your memories with hybrid retrieval
• UI Navigation - Keyboard shortcuts and topology interface
• Connectors - Connect Google Drive, Notion, and other sources

For Developers & AI Agents

• MCP Setup Guide - Integrate with Claude Desktop and other MCP clients
• API Reference - Complete API documentation
• Architecture Overview - System design and data flow

Advanced Topics

• Sleep Agent - Understand background maintenance
• Memory System - Memory tiering and organization
• Core Concepts - Tags, relationships, and more

Use Cases

For Individuals:

• Personal knowledge management
• Research note organization
• Chat history with infinite context
• Document management and search

For Teams:

• Shared organizational memory
• Project documentation hub
• Meeting notes and decisions
• Knowledge base for AI assistants

For Developers:

• AI agent memory layer
• Context persistence for LLM applications
• Semantic search API
• Knowledge graph construction

How It Works

Kybernesis uses a modern, cloud-based architecture:

• Global API: Fast access from anywhere in the world
• Smart Storage: Automatically organizes memories into hot/warm/archive tiers
• Hybrid Search: Combines semantic similarity with metadata filtering
• Background Processing: Automatic tagging, linking, and optimization
• Web Console: Visual graph interface to explore your knowledge

Support

• Documentation: You're here! Browse the guides above
• Email: support@kybernesis.ai
• Status page: status.kybernesis.ai

Getting Help

Each guide includes practical examples and clear instructions. If you get stuck:

1. Check the relevant guide in this documentation
2. Review the API Reference for endpoint details
3. Contact support at support@kybernesis.ai

Version

This documentation is for Kybernesis v1.0.0 (January 2025).

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Ready to get started? → Getting Started Guide