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

DimensionMirobody MCP ServerThe AI-native health data engine — collect, translate, reason with agents.CompartmentEncrypted, fully offline long-term memory for AI agents
FMRS54 / 100 · D75 / 100 · B
Reliability9 / 2012 / 20
Security and permissions11 / 2016 / 20
Maintenance13 / 2014 / 20
Documentation12 / 2018 / 20
Setup experience9 / 2015 / 20
Best for
  • Developers and health-data teams that need to standardize heterogeneous lab reports and wearable data
  • Teams that want a self-hosted, Apache-2.0, FHIR-oriented health-data stack
  • Users plugging health-data tools into MCP clients such as Claude Desktop or Cursor
  • Offline terminology and unit resolution with no network and no key
  • 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 want a purely hosted, zero-deployment product
  • Users expecting local GPU inference — reasoning relies on a hosted model provider
  • Use as an official diagnostic or licensed clinical decision-making system
  • Document extraction and agent Q&A without configuring any model API key
  • 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
  • Read health documents and device data the user uploads or imports (labs, wearables, genomics)
  • Access user health records, including records shared in a care circle (gated by the per-row health_access field)
  • Call the configured hosted model provider's API (key kept in .env, e.g. OPENROUTER_API_KEY)
  • Serve agent tools to MCP clients, gated per user
  • 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
  • Health data is highly sensitive personal information; an exposed self-hosted deployment leaks medical records
  • Care-circle sharing: an invited member still decides via health_access on their own row, and any route that forgets the check must answer 403 instead of handing over a record
  • SEED_DEMO_DATA is on by default and should be set to false before a deployment holds real data
  • Documents and photos are sent to the configured hosted model provider, and scanned pages reach a vision model — assess data residency and compliance
  • The project is not a local LLM; assuming full offline operation can fail without network access
  • Model provider API keys written into .env must be protected from commits or leaks
  • 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, CursorClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools014