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

DimensionBazi MCPAccurate Bazi calculation MCP server, providing reliable data for AI agents.CompartmentEncrypted, fully offline long-term memory for AI agents
FMRS63 / 100 · C75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2016 / 20
Maintenance14 / 2014 / 20
Documentation16 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • AI application developers who need accurate Bazi calculation data
  • Chinese metaphysics enthusiasts or researchers who want to use AI tools for Bazi analysis
  • Users who wish to integrate Bazi and calendar features into AI assistants like Claude Desktop
  • 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 do not require high accuracy in Bazi calculations or only need simple entertainment
  • Non-technical users, as there is no GUI and command-line operations are required
  • Users who need commercial support or official guarantees (this is an open-source community-driven project)
  • 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 Node.js runtime environment
  • Requires network connectivity (for npx installation or communication with AI clients)
  • No additional system permissions needed, but ensure the AI client can access the local process or connect via HTTP
  • 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
  • Bazi calculations are based on traditional metaphysics; results are for reference only and should not be used as a basis for decisions
  • Data may have inaccuracies despite the project's goal to improve precision
  • Open-source projects may update frequently or have unstable maintenance; monitor version changes
  • Content related to fortune-telling may be controversial; approach with rationality
  • 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 DesktopClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools314