Portable Memory Seam core for agent memory boundaries — safe, receipt-first memory access for AI agents
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Updated
Jul 7, 2026 - Python
Portable Memory Seam core for agent memory boundaries — safe, receipt-first memory access for AI agents
Public security model and controlled review process for Kurogane Hub
Box prompt content as data, not instructions.
Secure URL fetch for AI agents. Bifrost gate: three-tier prompt-injection scan before web content enters agent context. Cookie-auth X routing, JS-rendered page support, fail-closed quarantine.
Public system architecture, trust boundaries, ADRs, and diligence-facing documentation for NeuroCAD.
Reference implementation for securing agentic AI apps with guardrails, tool permissions, and audit logs.
Generic semantic-tainting static analyzer for Python — enterprise-class trust-boundary analysis at small-team weight.
Return Surface Analysis is a defensive security review heuristic for finding risk in the less-analyzed direction of a system: the path by which data, metadata, errors, artifacts, or tool output returns from a boundary-crossing operation.
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