
Cortex by SKYNETLAB
The memory layer that decides what's worth remembering
About Cortex by SKYNETLAB
Cortex by SKYNETLAB is an innovative hosted semantic memory platform designed to enhance AI systems' ability to remember and reason over data. It connects seamlessly over MCP, allowing AI models like Claude to access a structured, high-quality memory layer that filters redundant information, tracks contradictions, and attributes sources to facts. The setup is remarkably quick, taking just two minutes, and it works effortlessly with any MCP client, making it accessible for a broad range of AI applications. Built with an EU infrastructure and a patent-pending engine, Cortex emphasizes data integrity, transparency, and efficiency, making it ideal for organizations seeking a robust memory solution for their AI tools. Its focus on quality control—rejecting roughly 80% of writes as redundant—ensures that only valuable, non-duplicate information is retained, fostering accurate and reliable AI responses.
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Pros
- ✓Rapid 2-minute setup with any MCP client
- ✓High-quality memory filtering and redundancy rejection
- ✓Contradiction tracking enhances data consistency
- ✓Source attribution improves transparency
- ✓EU infrastructure ensures compliance and data security
Cons
- ✗Limited information on advanced customization options
- ✗No details on scalability for very large datasets
- ✗Vague on integration support beyond MCP
Use Cases
Pricing
Pricing not verified
Quick Info
Topics
Makers
Filippo Pilotta
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