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DimensionIronCurtainA secure runtime for autonomous AI agents, with policy from plain-English constitutions.NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS52 / 100 · D79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions5 / 2016 / 20
Maintenance15 / 2018 / 20
Documentation14 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • Developers and users who need strict security policies for AI agents
  • Teams that want to define security boundaries in natural language without sacrificing autonomy
  • Security researchers running agents in untrusted environments
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Scenarios where no security policy is needed and the agent can run freely
  • Simple tasks requiring minimal permissions or no external dependencies
  • Users who want out-of-the-box functionality without understanding the security model
  • Projects outside the NPM ecosystem (e.g., pure Python/Go)
  • Environments without network access to deps.dev, OSV.dev, and the npm registry
  • Scenarios requiring maintenance by an official upstream vendor
Required permissions
  • Requires access to filesystem, network, API keys, etc., for file and network operations
  • Requires Docker for Docker agent mode, providing strongest isolation
  • Requires an LLM API key (Anthropic, Google, or OpenAI)
  • Network access to the NPM registry and external services (deps.dev, OSV.dev, OpenSSF, npms.io, GitHub)
  • Read access to workspace lockfiles (pnpm-lock.yaml, package-lock., yarn.lock) for cache invalidation
Risks and side effects
  • Research prototype: APIs and configuration formats may change
  • Policy compilation may misinterpret intent; always review compiled rules
  • V8 isolate boundaries are not OS-level; a V8 zero-day could allow escape
  • In Docker mode, approved domains get raw passthrough tunnels without content inspection
  • Third-party READMEs and changelogs are untrusted external content; they are wrapped in tags with _meta flags but should still be handled cautiously
  • Depends on availability and accuracy of external services
  • Batch requests are capped at 25 packages to prevent registry enumeration; larger sets require batching
  • Third-party open source project, not officially maintained by NPM or Anthropic
Supported clientsClaude Desktop, VS Code, Cursor
Tools019