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

DimensionAnki MCP Server AddonSeamlessly integrate Anki with AI assistants via a local MCP server.CompartmentEncrypted, fully offline long-term memory for AI agents
FMRS55 / 100 · C75 / 100 · B
Reliability6 / 2012 / 20
Security and permissions11 / 2016 / 20
Maintenance9 / 2014 / 20
Documentation16 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Users who use Anki for spaced repetition and want to leverage AI to automate study workflows
  • Advanced users who need to manage cards, notes, and tags in bulk
  • Developers who want to integrate Anki data into AI workflows
  • 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
  • Casual users who don't need AI interaction and only want basic Anki features
  • Users uncomfortable with technical configuration who want plug-and-play
  • Users needing official support or enterprise-grade security guarantees
  • 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 and modify Anki collection data (cards, notes, decks, tags)
  • Perform sync operations, communicating with AnkiWeb
  • Access and modify media files (import, delete)
  • Perform UI operations in Anki interface (e.g., open dialogs, browse)
  • 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
  • Exposing via tunnel may increase unauthorized access risk, but built-in DNS-rebinding protection and optional API key mitigate it
  • Destructive tools (like field deletion) are hidden by default, but users can enable them, potentially causing data loss
  • Media file import has path traversal and SSRF risks, which are built-in validated, but loose configuration could lead to security issues
  • Automatic sync may unexpectedly overwrite or modify collection; regular backups recommended
  • 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, OpenCodeClaude Desktop, Claude Code, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools4114