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DimensionDaiso MCPConnect Korean local retail, convenience info, and cinemas to AI via MCP, CLI, and Codex Skill.CompartmentEncrypted, fully offline long-term memory for AI agents
FMRS64 / 100 · C75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2016 / 20
Maintenance14 / 2014 / 20
Documentation16 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • AI application users interested in Korean retail and local information
  • Developers who need quick access to convenience store, retail, and cinema inventory and schedules
  • Korean users of ChatGPT, Claude, Home Assistant, or Grok
  • 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
  • Enterprise users requiring official API authentication, as this is a community project
  • Users needing information outside of Korea
  • Users who require a real-time, unlimited server (public server has daily call limits)
  • 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
  • Public server only requires network access, no API keys needed
  • For self-hosted deployments, relevant API keys must be configured (e.g., OPINET_API_KEY, NAVER_CLIENT_ID, etc.)
  • Submitting developer requests requires Supabase credentials
  • 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
  • Public server has daily call limits (3,000 requests per IP per day), which may cause rate limiting
  • Data comes from non-official sources and may be inaccurate or delayed
  • Third-party service API terms may require additional authorization; use at your own risk
  • This server is an unofficial community project and not officially supported
  • 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, Claude Code, ChatGPT, Home Assistant, GrokClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
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