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

DimensionMengram MCP ServerLong-term memory for AI agents that actually learnsNPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS57 / 100 · C79 / 100 · B
Reliability9 / 2012 / 20
Security and permissions11 / 2016 / 20
Maintenance12 / 2018 / 20
Documentation13 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Coding agents and CLI workflows that need persistent memory across sessions and machines (Claude Code, Codex, Cursor)
  • Developers building autonomous agents that need semantic, episodic, and evolving procedural memory
  • Teams using LangChain, CrewAI, or OpenClaw who want a ready memory backend
  • Apps that need multi-user data isolation under a single API key
  • Teams wanting an account-free, folder-based memory that uses their own model provider (Anthropic, OpenAI, or Ollama)
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Single-turn chats or scenarios with no need for cross-session state
  • Environments requiring a fully local setup with no SDK or CLI installed (local mode still needs pip install mengram-ai and your own model key)
  • High-concurrency writes demanding whole-folder crash-atomic transactions (the folder is not a single crash-atomic transaction and external editors do not participate in the lock)
  • Self-hosters expecting good extraction from models under 8B parameters or with less than an 8K context window
  • 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
  • A Mengram API key sent as an Authorization: Bearer header for cloud memory reads and writes
  • In cloud mode, conversations are sent to mengram.io for extraction, embedding, and retrieval
  • Claude Code hooks can read session history and working state and re-inject context before and after compaction
  • `mengram import claude-code` reads local Claude Code session history (the README states secrets are redacted on your machine before upload)
  • The policy gate looks up learned workflows before workflow-shaped Bash commands and can be pointed at a local memory folder via MENGRAM_MEMORY_DIR
  • 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
  • Cloud mode uploads conversations and file content to a third-party service, which may include sensitive data; local mode avoids this but needs your own model key
  • Auto-save and auto-recall hooks read and write memory in the background, which can introduce unwanted context
  • Incorrect memories get re-recalled and injected into system prompts, with a persistent effect
  • Procedures evolve automatically and the policy gate can prompt before command execution, so misconfiguration may cause false alarms
  • In folder mode concurrent external edits are not lock-protected and can be overwritten; local search matches words and does not use embeddings or translation
  • 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, Cursor, Codex, Windsurf, Cline, Claude Code, OpenClaw, LangChain, CrewAIClaude Desktop, VS Code, Cursor
Tools019