About Spydr - The Github for LLM Context
Spydr Memory MCP is introduced as the first multimodal, interoperable context engine designed for any AI client. It aims to solve the problem of scattered information and context residing in siloed applications, enabling users to carry their context over seamlessly.
How to Use
Users can 'Intake. Create. Connect. Share.' their context, allowing AI to curate it and transform it into starting points for discovery. Access is available by signing up, either by continuing with Google or creating a new account. The service is currently in BETA.
Spydr Memory MCP's
Key Features
- Multimodal, interoperable context engine
- AI-powered context curation
- Transforms context into starting points for discovery
- Enables context to be 'On the Go'
- Breaks down information silos
Use Cases
- Organizing and centralizing scattered information for AI interactions.
- Carrying personal or professional context across different applications and AI clients.
- Generating new insights and discovery points from curated information.
- Enhancing AI client performance with comprehensive, accessible context.
FAQ
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Key Features
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