github scanned Safe content atomic container

ai-memory-layer

ai-memory-layer — nishantjlu-ai-memory-layer. Use this tool when you need to manage and optimize AI model memory usage, solving problems like memory overflow and slow performance. It takes in model architectures and training data as inputs and outputs optimized memory allocation configurations. Ideal for use cases where AI models require significant memory resources, such as large-scale deep learning applications.

Cognium trust score
62%
Tier
Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-03.

Scan details: Circle-IR · 2026-09-03 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
container
Category
other
Source
GitHub
Author type
human
Last scanned
2026-09-03
Updated
2026-09-21
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One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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