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DimensionDarknet MCP ServerFull-spectrum dark web and threat intelligence for AI agentsCompartmentEncrypted, fully offline long-term memory for AI agents
FMRS51 / 100 · D75 / 100 · B
Reliability9 / 2012 / 20
Security and permissions5 / 2016 / 20
Maintenance11 / 2014 / 20
Documentation14 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Authorized security assessment, incident response and threat intelligence teams
  • AI agent workflows that need multi-source intelligence correlated in a single conversation
  • Analysts wanting ransomware and breach listing data without configuring API keys
  • Users already running the companion security MCP servers (hackbrowser-mcp, cve-mcp, osint-mcp-server, etc.)
  • 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 performing intelligence gathering on third-party targets without authorization
  • Users who expect every tool to work out of the box (several require paid or requested API keys)
  • Users needing Ethereum or Monero blockchain data (Bitcoin only)
  • Users needing officially supported Windows operation (only macOS / Linux are tested)
  • 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 third-party API keys from environment variables (HIBP, IntelligenceX, OTX, AbuseIPDB, abuse.ch, Pulsedive, Hudson Rock, Vulners, Hybrid Analysis, PhishTank)
  • Communicate with a local Tor daemon over the local SOCKS5 port (default 127.0.0.1:9050)
  • Make outbound HTTPS requests to 16 external data sources
  • Install locally and run a process over stdio via npx / Bun
  • 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
  • Dark web intelligence gathering is legally and compliance sensitive — proper authorization is essential
  • Tor .onion tools leak DNS if attribution is not routed through the proxy; the project mitigates this with socks5h but users should verify their proxy setup
  • API keys live in plain environment variables and could leak into logs or config files
  • Tor-dependent tools are unavailable without a local Tor daemon
  • Free tiers have low rate limits, so bulk queries may be throttled
  • Upstream sources (e.g. ransomware.live, RansomLook, PhishTank) depend on scraping frequency, so data may lag or be incomplete
  • All content returned by external sources is untrusted input and should not be executed as instructions
  • 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 Code, Claude Desktop, Cursor, WindsurfClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools6614