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Defense-in-depth proxy sandbox for AI agents

Project description

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agentcage

Defense-in-depth proxy sandbox for AI agents.

Don't let your agent phone home.

:warning: Warning: This is an experimental project. It has not been audited by security professionals. Use it at your own risk. See Security & Threat Model for details and known limitations.

Setup guides: OpenClaw · PicoClaw · NanoClaw

agentcage demo

What is it?

agentcage is a CLI that generates hardened, sandboxed environments for AI agents. Your agent runs on an internal-only network with no internet gateway; the only way out is through an inspecting proxy that scans every HTTP request before forwarding it.

Most agent deployments hand the agent a lethal trifecta: internet access, real secrets, and arbitrary code execution. Combined, they create an exfiltration risk that most setups have zero defense against. agentcage breaks that combination. See Security & Threat Model for the full breakdown.

  • Network isolation -- agent on internal-only network, no internet gateway
  • Inspecting proxy -- pluggable inspector chain on every HTTP request, WebSocket frame, and DNS query
  • Secret injection -- agent gets placeholders, proxy swaps in real values outbound and redacts inbound
  • Secret & payload scanning -- regex secret detection, Shannon entropy, content-type mismatch, base64 blob scanning
  • DNS filtering -- allowlist-based dnsmasq sidecar, placeholder IPs for unauthorized domains
  • Fail-closed by default -- all hardening on out of the box; component failure stops traffic

Both container mode (rootless Podman) and VM mode (Lima KVM) are supported -- see Security & Threat Model for the comparison. For the full container topology and inspector chain, see Architecture.

Quick Start

# Install
curl -fsSL https://raw.githubusercontent.com/agentcage/agentcage/master/install.sh | sh

# Scaffold a config (or use --scaffold openclaw)
agentcage init myapp --image node:22-slim

# Create and start the cage
agentcage cage create -c cage.yaml

# Store secrets (cage must exist first)
agentcage secret set myapp ANTHROPIC_API_KEY
agentcage cage restart myapp

# Verify it's healthy
agentcage cage verify myapp

Run agentcage init --list-scaffolds to see available scaffolds. See CLI Reference for the full command set.

Install

One-line installer (installs agentcage + prerequisites):

curl -fsSL https://raw.githubusercontent.com/agentcage/agentcage/master/install.sh | sh

Manual install:

Container mode (Linux only) -- prerequisites: Podman (rootless), Python 3.12+, uv.

OS Command
Arch Linux sudo pacman -S podman python uv
Debian / Ubuntu 24.04+ sudo apt install podman python3 && curl -LsSf https://astral.sh/uv/install.sh | sh
Fedora sudo dnf install podman python3 uv

VM mode (Linux and macOS) -- prerequisites: Lima, Python 3.12+, uv. QEMU also required on Linux.

OS Command
macOS brew install lima python uv
Arch Linux sudo pacman -S qemu-full python uv + install Lima
Debian / Ubuntu sudo apt install qemu-system python3 && curl -LsSf https://astral.sh/uv/install.sh | sh + install Lima

On macOS, only VM mode is available. Podman is optional (only needed for agentcage secret set). See VM Isolation for details.

Then install agentcage:

uv tool install agentcage                                            # from PyPI
uv tool install git+https://github.com/agentcage/agentcage.git      # from GitHub

For development:

git clone https://github.com/agentcage/agentcage.git
cd agentcage
uv run agentcage --help

Usage

# View logs
agentcage cage logs myapp             # agent logs
agentcage cage logs myapp -s proxy    # proxy inspection logs

# Audit inspection decisions
agentcage cage audit myapp --summary --since 24h

# Rotate a secret (auto-reloads the cage)
agentcage secret set myapp ANTHROPIC_API_KEY

# Update after code/config changes
agentcage cage update myapp -c cage.yaml

# Restart without rebuild
agentcage cage restart myapp

# Backup and restore
agentcage cage backup myapp --include-secrets -o backup.tar.gz
agentcage cage restore backup.tar.gz --name myapp-clone

# Tear it all down
agentcage cage destroy myapp
Command / Group Commands
init (top-level) -- scaffold a config file
cage create, update, edit, list, destroy, verify, restart, logs, exec, audit, har, backup, restore (aliases: ls/ps/statuslist, rmdestroy, reloadrestart)
secret set, list, rm (alias: lslist)
domain list, add, rm (alias: lslist)
completions (top-level) -- print shell completion script (bash/zsh/fish)

See CLI Reference for full documentation of all commands and options.

Configuration

See the Configuration Reference for all settings, defaults, and examples. Example configs: basic/cage.yaml. Deployment state is tracked per-cage in ~/.config/agentcage/deployments/<name>/.

Security

The agent has no internet gateway -- all traffic must pass through the proxy, which applies domain filtering, secret detection, payload inspection, and custom inspectors. For workloads requiring hardware-level isolation, VM mode adds a dedicated guest kernel per cage via Lima, eliminating container escape as an attack vector. See Security & Threat Model for the full threat model, defense layers, and known limitations.

License

MIT

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