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

DimensionMemorixLocal-first shared memory layer for AI coding agents.NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS66 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions15 / 2016 / 20
Maintenance14 / 2018 / 20
Documentation16 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Development teams that want shared project memory across different AI coding tools.
  • Experienced developers who frequently start new sessions and lose context.
  • Projects that value preserving design decisions and reasoning.
  • Users who prefer local-first, privacy-friendly memory storage.
  • Users working with multiple MCP-compatible agents who want a unified memory layer.
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Simple projects that only need single-session memory.
  • Users without Node.js or Git environments.
  • Teams needing cloud sync or centralized memory management (Memorix is local-first).
  • Users needing fully automatic, review-free long-term memory (long-term memory requires manual candidates and approval).
  • Beginners who are configuration-sensitive, as setup involves multiple steps.
  • 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
  • Read and write local files (project root and memorix data directory).
  • Execute Git commands (e.g., commit history reading).
  • Start local HTTP services (if background mode is enabled).
  • Optional API keys for LLM generation and embeddings (e.g., OpenAI, OpenRouter).
  • Install agent plugins, rules, hooks, and skills (via setup command).
  • 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
  • Local-first means memory is not synced to cloud; you must back it up yourself.
  • Misconfigured API keys may send data to third parties; ensure keys are secure.
  • Hooks may consume computational resources or impact performance.
  • Long-term memory requires human review, otherwise incorrect information may accumulate.
  • Orchestration may create multiple worktrees or branches, requiring careful merge conflict resolution.
  • 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 Code, Codex, Cursor, Windsurf, Gemini CLI, GitHub Copilot CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Kiro, OpenCode, TraeClaude Desktop, VS Code, Cursor
Tools2019