Security-first, self-hosted AI agents - isolation you can prove, not just promise.
git clone https://github.com/IronSecCo/ironclaw && cp ironclaw/*.md ~/.claude/agents/Subagents overview
<div align="center"> <img src="docs/assets/logo.svg" alt="IronClaw" width="380"> ### Self-hosted AI agents you do not have to trust. Each one runs sealed in a sandbox that provably cannot phone home, read your host, or rewrite its own rules. <!-- Security & supply-chain trust cluster — lead with what makes this project different --> [](https://scorecard.dev/viewer/?uri=github.com/IronSecCo/ironclaw) [](https://www.bestpractices.dev/projects/13348) [](https://github.com/IronSecCo/ironclaw/actions/workflows/codeql.yml) [](#verifying-a-release) [](#verifying-a-release) [](#verifying-a-release) [](https://github.com/marketplace/actions/ironclaw-sandbox-scan) [](https://ironsecco.github.io/ironclaw/scan-action/) [](https://ironsecco.github.io/ironclaw/scan/#sandbox-isolation-score-badge) [](https://ironsecco.github.io/ironclaw/) [](#project-status) [](https://github.com/IronSecCo/ironclaw/releases/latest) [](https://pkg.go.dev/github.com/IronSecCo/ironclaw) [](LICENSING.md) [](https://github.com/IronSecCo/ironclaw/discussions) [](https://github.com/IronSecCo/ironclaw/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) [](https://github.com/IronSecCo/ironclaw/stargazers) </div> **IronClaw runs autonomous AI agents on infrastructure you control**, reached through the chat apps you already use. Each agent can read, write, schedule, and reply like any assistant, but it lives inside a sealed sandbox with `network=none`: it reaches the model only through a host proxy, and it **cannot change its own configuration.** It is for anyone who wants what agents can do without handing an autonomous program the keys to their machine. > **Now on the GitHub Marketplace.** The `ironctl scan` containment grader ships as a > [GitHub Action](https://github.com/marketplace/actions/ironclaw-sandbox-scan): drop one > line into a workflow and every pull request gets a 0 to 100 sandbox isolation scorecard as > a sticky comment. Local, read-only, credential-free. > > ```yaml > # .github/workflows/scan.yml > - uses: IronSecCo/ironclaw@v1 > with: > target: my-container # a container, compose service, or k8s manifest > ``` > > Report-only by default; set `min-score: 90` to gate merges. See [scan in CI](https://ironsecco.github.io/ironclaw/scan-action/). <div align="center"> <!-- Motion sells: a REAL recording of examples/live-containment (docs/assets/live-containment.cast, regenerable via the "Re-record the clip" note in that example's README). The static final-frame SVG is the reduced-motion / no-animation fallback. No autoplay-with-sound (GIF has no audio). --> <picture> <source media="(prefers-reduced-motion: reduce)" srcset="docs/assets/containment.svg"> <img src="docs/assets/live-containment.gif" width="820" alt="live-containment demo: one command engages a real per-session sandbox, then a fully-jailbroken agent tries three escapes from inside the box and each is BLOCKED. Exfiltrating to the attacker is denied because network=none leaves only the loopback interface and DNS fails; reading the operator's host filesystem is denied because the host root is outside the sandbox mount namespace; seizing the host via the Docker Engine socket is denied because the socket is never mounted in and there is no docker client. It ends with a containment summary that 3 of 3 escape attempts were denied and the box held."> </picture> <sub><b>Watch it catch a real escape.</b> A fully-jailbroken agent inside a real sandbox tries to phone home, read the host filesystem, and seize the host through the Docker socket. Each attempt is <b>denied</b> at the isolation boundary, then a containment summary prints. One command, zero credentials, reduced-motion friendly. <a href="examples/live-containment/"><code>examples/live-containment/run.sh</code></a></sub> </div> **⭐ Like the idea of agents you do not have to trust? [Star the repo](https://github.com/IronSecCo/ironclaw)** so it is one click to follow along and easier for the next person to find. Then run the exact demo above in 30 seconds, no signup and no API key. ### Try it in 30 seconds (zero credentials) Make sure the **Docker daemon is running** (start Docker Desktop, or `sudo systemctl start docker` on Linux), then paste one block: ```sh git clone https://github.com/IronSecCo/ironclaw.git && cd ironclaw examples/live-containment/run.sh # builds the sandbox once, engages a real sandbox, proves it holds ``` That single command runs the whole secured path on your laptop: it starts the offline mock-agent control-plane (**no API key**), engages a **real per-session sandbox**, lets a jailbroken agent try to break out, and prints the containment summary you saw above. Want to chat with an agent in a browser first? Run [`hello-ironclaw`](examples/hello-ironclaw/) or the [zero-credential quickstart](docs/quickstart.md). Production seals each sandbox with gVisor and `network=none`. > [!WARNING] > **Alpha software, work in progress. Please read before relying on it.** > > - **It's an alpha.** Flags, the on-disk format, and the HTTP/contract surfaces can still change without notice or a migration path. Don't point it at anything you can't afford to lose. > - **Not every feature is tested end-to-end.** The control-plane, gateway, and encrypted-queue core have real coverage (800+ Go tests plus a black-box parity suite); channel adapters, some tools, multi-provider routing, and a live sandbox launch are exercised more lightly. Treat anything outside the [tested core](#project-status) as experimental. > > macOS gets a weaker sandbox boundary than Linux+gVisor, and **native Windows can't run the agent sandbox at all** (use WSL2). See [Platform support](#platform-support). > **The security model, in one line:** each sandboxed agent runs with `network=none`, reaches the > model only through a host proxy, and **cannot change its own configuration.** Every capability > change is held at a gateway for a human decision. The full design is in the > [architecture overview](docs/architecture.md) and the [threat model](docs/threat-model.md). ### See the whole journey, end to end <div align="center"> <img src="docs/assets/demo.svg" width="800" alt="Zero-credential chat demo terminal session: one command (docker compose -f docker-compose.demo.yml up -d) starts the offline mock-agent control-plane with no API key; a chat message engages the agent, which launches a real per-session sandbox container (ic-sbx-…); the reply flows back through the encrypted per-session queue."> <sub><b>Zero credentials, one command.</b> The offline <code>mock-agent</code> runs the full chat to per-session sandbox to reply path with no API key. Production seals each sandbox with gVisor and <code>network=none</code>. <a href="docs/quickstart.md">Quickstart</a></sub> <br><br> <img src="docs/assets/walkthrough.svg" width="820" height="595" alt="End-to-end IronClaw walkthrough terminal session in three acts. Act 1: one command starts the offline mock-agent and it replies with no API key. Act 2: connect a real provider by exporting a host-side, redacted ANTHROPIC_API_KEY and starting the real control-plane (each session sealed with gVisor and network=none). Act 3: the agent submits a persona change that is HELD at the human-approval gateway, a human approves it, and the submit-approve-apply trail lands on the append-only audit log."> <sub><b>Zero-cred demo, connect a real provider, first approved task.</b> The one credential step keeps the key host-side; every agent change is held at the gateway for a human, then written to the append-only audit log. Animation freezes on the final frame under <code>prefers-reduced-motion</code>. <a href="docs/quickstart.md">Quickstart</a></sub> </div> ## Get running in under two minutes One command installs the two host binaries (`ironctl` + `ironclaw-controlplane`); in dev mode the control-plane serves its API at **`http://127.0.0.1:8787`**. From a cold machine, you'll have a capability change waiting at the security gateway in **under two minutes**: ```sh # 1. Install — detects your OS/arch and verifies the SHA-256 checksum before installing curl -fsSL https://raw.githubusercontent.com/IronSecCo/ironclaw/main/scripts/install.sh | sh # 2. Start the control-plane in dev mode — API base URL: http://127.0.0.1:8787 e
What people ask about ironclaw
What is IronSecCo/ironclaw?
+
IronSecCo/ironclaw is subagents for the Claude AI ecosystem. Security-first, self-hosted AI agents - isolation you can prove, not just promise. It has 17 GitHub stars and was last updated today.
How do I install ironclaw?
+
You can install ironclaw by cloning the repository (https://github.com/IronSecCo/ironclaw) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is IronSecCo/ironclaw safe to use?
+
IronSecCo/ironclaw has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains IronSecCo/ironclaw?
+
IronSecCo/ironclaw is maintained by IronSecCo. The last recorded GitHub activity is from today, with 30 open issues.
Are there alternatives to ironclaw?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
Deploy ironclaw to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/ironsecco-ironclaw)<a href="https://claudewave.com/repo/ironsecco-ironclaw"><img src="https://claudewave.com/api/badge/ironsecco-ironclaw" alt="Featured on ClaudeWave: IronSecCo/ironclaw" width="320" height="64" /></a>More Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The agent engineering platform.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.