Context Manager
Augments AI models with persistent context across work sessions using project management frameworks.
About
Context Manager is a collection of Model Context Protocol (MCP) servers designed to enhance AI models by providing persistent context across work sessions throughout the project lifecycle. It utilizes domain-specific knowledge graphs to store and manage context for each project, accessible through a central Context Manager for unified access. Each domain server functions as a standalone MCP Server, offering features like efficient context access, session management, and cross-domain support to free up context window, minimize token cost and improve AI model performance.
Key Features
- Persistent context management with buildcontext, loadcontext, and deletecontext.
- Efficient access to context for AI models.
- Session management with startsession and endsession tools for analysis and knowledge graph updates.
- Cross-domain support for working with multiple knowledge domains through a single interface.
- Ability to create relationships between entities in different domains
- 1 GitHub stars
Use Cases
- Managing context for software development projects, components, and tasks.
- Maintaining project management context including projects, tasks, and resources.
- Organizing educational context for courses, assignments, and exams.
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