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

DimensionGraphlit MCP ServerSeamlessly integrate Graphlit platform with MCP clients for content ingestion, search, and RAG knowledge bases.CompartmentEncrypted, fully offline long-term memory for AI agents
FMRS66 / 100 · C75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions13 / 2016 / 20
Maintenance16 / 2014 / 20
Documentation15 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • Developers and managers who want to consolidate multiple data sources into a searchable knowledge base.
  • Teams that need to extract information from unstructured documents for LLM-powered applications.
  • Users already using the Graphlit platform or interested in trying it.
  • Individuals or teams who prioritise privacy and offline operation and do not want data leaving the machine
  • Users who share memory across multiple MCP clients such as Claude Code, Claude Desktop, Hermes Agent, OpenClaw, Cursor, Codex and Gemini CLI
  • Scenarios that need encrypted storage, a hash-chained audit log and verifiable vault migration
  • Users who want low-latency recall, a bundled embedding model and no extra LLM calls inside the memory layer
Not for
  • Users who only need simple web search or do not require data persistence.
  • Users who need local storage or open-source solutions, as Graphlit is a hosted cloud platform.
  • Users requiring fully offline or private deployment.
  • Users who need cloud multi-device sync or a hosted team memory service; moving between machines means locking the vault and copying the file
  • Users who expect the server itself to run an LLM that extracts facts and decides what to remember; Compartment explicitly keeps no LLM inside and leaves that to the host model
  • Users who cannot keep a passphrase safe or who need a recovery path if it is lost, since Compartment never generates a password, seed or recovery phrase
  • Deployments that require network transports such as SSE or streamable-http; this server is stdio only and opens no ports
Required permissions
  • Requires Graphlit Environment ID, Organization ID, and JWT secret for authentication.
  • Optional: Data connector tokens such as Slack Bot Token, Discord Bot Token, Google OAuth credentials, etc., to access external services.
  • MCP clients need to execute npx commands, requiring network access and a Node.js environment.
  • Read and write the vault file under the user's home directory, by default ~/.compartment/memory.vault, and its sibling settings file
  • Access the session directory holding the unlock credential (configurable with COMPARTMENT_SESSION_DIR), which also carries the shared embedding process's Unix socket
  • Optionally use the macOS keychain (compartment unlock --keychain is an explicit opt-in, and it survives reboots)
  • Write or merge an mcpServers entry into each MCP client's own configuration file, taking a byte-exact backup first
  • Install a PostToolUse hook for Claude Code that captures memory files the agent writes
  • Serve a read-only dashboard on 127.0.0.1 behind a one-time random URL token
Risks and side effects
  • Data security: Connectors access external services; ensure permissions are scoped minimally.
  • Cost: Graphlit is a paid service; improper use may incur charges.
  • Credential leakage: Environment variables contain sensitive info; guard them carefully, especially in shared configs.
  • Third-party dependencies: The server is fetched via npx, introducing potential supply chain risks.
  • A leaked passphrase means the encrypted content can be decrypted; Compartment generates no recovery phrase and cannot recover a lost passphrase
  • Enabling the memory_unlock tool places the passphrase in the model's context, which is why it is off by default
  • If a 2FA keyfile is lost, for example a USB stick, the vault cannot be opened even with the passphrase
  • `export --plaintext` writes the vault as unencrypted JSONL, so that file must be handled carefully
  • Memory content can come from untrusted sources; recall wraps memories with a notice that they are stored data and content can be marked quarantined, but the host agent must still treat memory as data to limit prompt-injection risk
  • The capture hook and client integration write into the user's own settings files, although the implementation backs up and merges rather than replacing
Supported clientsClaude Desktop, Cursor, Windsurf, Goose, ClineClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools5914