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

DimensionLocal Deep Research (LDR) MCP ServerLocal-first deep research assistant exposing multi-engine search and cited reports to Claude over MCP.CompartmentEncrypted, fully offline long-term memory for AI agents
FMRS70 / 100 · B75 / 100 · B
Reliability9 / 2012 / 20
Security and permissions14 / 2016 / 20
Maintenance18 / 2014 / 20
Documentation17 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Privacy-conscious researchers and developers who want to run LLMs and search fully locally
  • Users already running local models via Ollama, LM Studio, or llama.cpp
  • People who want to give Claude multi-engine academic search and structured report generation
  • Local, STDIO-based integration into Claude Desktop or Claude Code
  • 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
  • Multi-user or network-exposed deployments — this MCP server has no built-in authentication or rate limiting and is documented as local-use only
  • Users wanting a zero-config tool — it requires configuring an LLM provider and a search engine, and sometimes deploying SearXNG
  • Teams needing real-time multi-user collaboration features
  • 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
  • Access to a configured LLM (local endpoint or cloud API key)
  • Outbound network access to call configured search engines (arXiv, PubMed, SearXNG, Brave, etc.), unless restricted to local documents only
  • Local filesystem read access for analyze_documents to work with private documents
  • Read/write access to the local encrypted (SQLCipher) database
  • 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
  • The docs explicitly warn this MCP server is designed for local use only via STDIO transport, has no built-in authentication or rate limiting, and should not be exposed over a network without additional security controls
  • Credentials (e.g. API keys) are held in process memory during active sessions, a routine runtime risk the project mitigates with session-scoped credential lifetimes and core dump exclusion
  • Research queries are sent to whichever search engines are configured, and cloud LLM providers (OpenAI, Anthropic, Google, etc.) receive query/document content when selected
  • Docker's --network host mode can silently fail to expose ports or misroute localhost on Windows/WSL2/Mac
  • 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 CodeClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools814