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

DimensionAtomic AgentA local-first AI agent that runs on your machine.CompartmentEncrypted, fully offline long-term memory for AI agents
FMRS44 / 100 · D75 / 100 · B
Reliability3 / 2012 / 20
Security and permissions10 / 2016 / 20
Maintenance10 / 2014 / 20
Documentation13 / 2018 / 20
Setup experience8 / 2015 / 20
Best for
  • Users who want the control loop and state kept on their device
  • Users with llama.cpp, Ollama, LM Studio, or another OpenAI-compatible model backend
  • Developers needing browser, filesystem, document, and task automation
  • Technical users willing to review approvals, traces, and network egress
  • 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 looking for a standalone MCP server that can be installed directly into an MCP client
  • Production integrations requiring stable APIs, because the project is still a developer preview
  • Environments that cannot allow agent access to browsers, files, shells, or networks
  • Systems without Node.js, Chromium, git, or an accessible model backend
  • 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 write access to the local state directory and SQLite databases
  • Permission to run approved shell commands and perform some process operations
  • Access to the configured Chromium browser, browser profile, and websites
  • Network access to configured llama-server, cloud models, search providers, or HTTP endpoints
  • Permissions required by external MCP servers whose tools are invoked
  • Optional macOS Accessibility, Screen Recording, Automation, or Reminders permissions
  • 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
  • Browser navigation, HTTP tools, cloud models, search providers, MCP, Telegram, update checks, and analytics can create network egress
  • Shell commands and skills inherit the agent process environment and may access `.env` secrets
  • Traces and `.env` under the state directory should be treated as sensitive; the project says redaction and environment filtering are not complete isolation
  • Filesystem writes, patches, archive extraction, process termination, HTTP requests, and untrusted MCP tools are policy-gated, but approval errors can still cause harm
  • The project is a developer preview, so commands, configuration, and behavior may change
  • 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, Hermes Agent, OpenClaw, Cursor, VS Code, Codex, Gemini CLI, Cline, Roo Code, Zed, OpenCode, LM Studio, AnythingLLM, BoltAI, Goose, Kiro
Tools014