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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionNeo.mjs Agent OSAn AI engineering team inhabiting live applicationsNPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS34 / 100 · D79 / 100 · B
Reliability3 / 2012 / 20
Security and permissions6 / 2016 / 20
Maintenance13 / 2018 / 20
Documentation8 / 2018 / 20
Setup experience4 / 2015 / 20
Best for
  • AI architects needing persistent memory and cross-model coordination
  • Engineers building enterprise multi-window applications, trading platforms, or IDE-class tools
  • Researchers studying self-evolving systems, gated recursive self-improvement, and multi-agent governance
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Static content sites or simple blogs
  • Teams seeking a drop-in syntax replacement
  • Developers unwilling to adopt the Worker Actor Model or treat AI as a peer maintainer
  • 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
  • Access to source code, documentation, issues, pull requests, and discussions for knowledge-base construction
  • Persistent storage for agent memory, messages, and graph data
  • If GitHub Workflow is enabled, management of issues, pull requests, reviews, labels, and projects
  • If Neural Link is enabled, inspection of live application state and mutation of the running application
  • Sandboxed file access may be used by internal Neo.ai.Agent local loops
  • 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
  • Neural Link can modify live application state and hot-patch code, so incorrect operations may affect running applications
  • GitHub workflows may create or review pull requests, manage issues, and synchronize repository state
  • Persistent memory and knowledge stores may retain repository content, discussions, and agent reasoning
  • Multi-tenant deployments must preserve tenant identity and visibility isolation; the README gives no specific security configuration
  • 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