Overview
Projects help you organize related documents and memories into cohesive units. Provide structured context for AI interactions and team collaboration.What is a Project?
A project in MemoryLake is:- Container for related documents
- Context provider for AI models via MCP servers
- Organization unit for knowledge management
- Collaboration space for teams
Core Features
Project Dashboard
Monitor statistics, manage documents, memories, and MCP servers from unified dashboard.
Document Association
Link documents from your drive to projects using tree-based selector.
Project Components
Documents
Associate files and folders from your drive. Documents provide content that AI models can read and analyze.Memories
Add knowledge snippets and context that guide AI understanding of your project.MCP Servers
Generate API keys for external applications and AI models to access project data.Common Use Cases
Research Organization
Research Organization
Group research papers, notes, and data files. Add memories with research questions and methodologies. Provide AI access via MCP servers.
Team Knowledge Base
Team Knowledge Base
Centralize team documentation. Associate relevant files, add memories with guidelines and best practices.
AI Context Management
AI Context Management
Organize documents AI models need. Add memories that guide AI behavior and understanding.
Getting Started
1
Create Project
Give your project a name and description.
2
Add Documents
Associate relevant files from your drive.
3
Create Memories
Add contextual knowledge and guidelines.
4
Generate API Keys
Create MCP server endpoints for external access.