strands-agents/box

★ 310⑂ 14

Run AI agents in a sandbox that restricts what they can execute, read, write, and reach on the network.

About strands-agents/box

strands-agents/box is an open-source project on GitHub, mainly written in Rust. Run AI agents in a sandbox that restricts what they can execute, read, write, and reach on the network. It currently holds 310 stars and 14 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).

Project Overview

AI Homed tracks it on the Today's Trending board.

GitHub Repository Details

Repository strands-agents/box · default branch - · size 0 KB · watchers 0 · source: GitHub REST API and repository README

README

https://github.com/strands-agents/box/blob/HEAD/Strands

Strands Box

An open source sandbox engine for AI agents.

https://github.com/strands-agents/box/blob/HEAD/Commit Activity https://github.com/strands-agents/box/blob/HEAD/Open Issues https://github.com/strands-agents/box/blob/HEAD/Open PRs https://github.com/strands-agents/box/blob/HEAD/Discord


Overview

Strands Box is an open source sandbox for AI agents. It combines operating-system isolation with semantic policies written in Dogwood, so you can control what agents can access and the conditions under which they can act.

Box is harness-agnostic. You choose the agent program or binary to run, configure its access in box.toml, and write its policies in policy.dw.

The host OS enforces the direct access restrictions in box.toml. Strands Shell, Monty for Python, the egress gateway, and the MCP broker send the operations they handle to the embedded Dogwood Local Engine, which evaluates the rules in policy.dw. Box enforces its allow or deny decisions outside the agent process.

Dogwood uses permit and forbid rules. Operations checked by the engine are denied by default: a matching permit must allow the operation, and a matching forbid overrides that permission.

Box's interpreters and gateways share an event history, so rules can use earlier actions and elapsed time to decide what is allowed next. For example, a file read through Shell or Python can cause the gateway to deny a later outbound HTTP request.

Preview: Box currently supports local execution on macOS with Apple silicon. We welcome feedback through GitHub issues. Read CONTRIBUTING.md before submitting a change.

Key capabilities

direct access. Box reports the configured grants at startup. operation, its arguments, earlier actions, and elapsed time. Operations checked by the policy engine are denied unless a rule permits them. gateway, and the MCP broker use one policy engine and event history. A file read through one interpreter can affect whether a later network request is allowed. HTTP requests, including their method and path. The MCP integration checks configured tool calls and their arguments. configured API credentials or AWS SigV4 signing. The agent does not receive the underlying secrets. records go to <box_dir>/private/telemetry/records.jsonl.

Direct filesystem grants in box.toml are enforced by the OS and do not produce individual Dogwood decisions. To apply a policy to file operations, use the interpreters and keep those files out of the agent's direct grants. See filesystem access and policy.

Architecture

Box runs the Dogwood Local Engine and its enforcement components in its own process, outside the agent's sandbox. Strands Shell, Monty, the egress gateway, and the MCP broker check operations with the engine before allowing them. They also record events that later policy decisions can use.

flowchart LR
    subgraph sandbox["Agent OS sandbox"]
        agent["Agent application"]
    end

net["network requests"]:::label py["Python code"]:::label sh["shell commands"]:::label mc["local MCP calls"]:::label

subgraph trusted["The box's trusted process (outside the agent sandbox)"] proxy["Egress gateway"] monty["Monty for Python"] shell["Strands Shell"] mcp["MCP broker"] policy[["Dogwood Local Engine and event history"]] end

agent --- net --> proxy agent --- py --> monty agent --- sh --> shell agent --- mc --> mcp proxy -->|"policy checks"| policy monty -->|"policy checks"| policy shell -->|"policy checks"| policy mcp -->|"policy checks"| policy

classDef label fill:none,stroke:none;

When the agent uses a program such as git or cargo, or a local MCP server, Box checks the launch against policy and runs the program in its own sandbox. You configure which files each program can read or change. The agent can send requests to Box's interpreters, but external programs and local MCP servers cannot. Box receives their output and exit status, and their network traffic goes through Box's gateway by default. See the security model for details.

For each part, where it runs, what it decides, and how one request moves through them, read Box architecture.

Getting started

Follow the getting-started guide to run Strands CLI with Box. To follow this guide, you need a Mac with Apple silicon and macOS 15 or later, Node.js 22.21 or later from Homebrew, and access to Claude Opus 5 on Amazon Bedrock in us-west-2.

The download script checks the release checksum and unpacks the binaries into ./box-core. It does not change your PATH or system directories:

curl -fsSL https://raw.githubusercontent.com/strands-agents/box/main/download.sh | sh
./box-core/box --version

Keep the downloaded binaries together in ./box-core. You can also build from source. Then follow the guide to write box.toml and policy.dw, and run the box.

Change what the box allows

Edit box.toml to change the agent's environment and direct access grants. Edit policy.dw to change the rules for operations Box checks through its interpreters and gateways. You can give your coding agent the policy-authoring skill for help with Dogwood syntax and Box's supported actions:

https://raw.githubusercontent.com/strands-agents/box/main/.agents/skills/authoring-box-policy/SKILL.md

Examples

Run the Strands Python SDK example for a small agent whose three tools use Shell.

See the example index for dependencies and run instructions.

Build from source

This is a Cargo workspace. rust-toolchain.toml pins the compiler, and rustup installs it on the first build. Build the box binaries from a clone with rustup:

git clone https://github.com/strands-agents/box.git
cd box
cargo build --release -p strands-box -p strands-box-containment

Run the compiled binary as ./target/release/strands-box. Keep its helper binaries in the same directory.

Common tasks run through just:

just build         # the CLI, the alias image, and the containment trampoline
just test          # workspace tests
just check         # pre-push gate: fmt-check + clippy + test
just test-all      # workspace tests and box example checks

cargo test --workspace --all-features runs the full suite. Include --all-features to run the box_shell and box_credentials suites, which require the test-support feature.

Documentation

| Guide | Contents | |---|---| | docs/user/ | How to install Box and run a box. | | docs/design/ | Architecture, enforcement boundaries, and design decisions. |

See AGENTS.md for the repository rules and the current state.

Reporting a problem

Open an issue on this repository. For a suspected security problem, read SECURITY.md first.

License

Apache License 2.0.

GitHub Stars & Activity

310Stars
14Forks
0Open issues
RustLanguage

GitHub Popularity

GitHub stars310
Forks14
Open issues0
Primary languageRust
License-
Stars gained today0
Created-
Last pushed-

Trending History

Weekly boardrank #97 · ▲ 0 stars

Related AI Projects

1

GLinnik21 / plx-native

Rust★ 530⑂ 45▲ 167 stars
→
2

mrsarac / ff-tracking

Rust★ 217⑂ 13
→
3

mattpocock / skills

Shell★ 284,187⑂ 23,792▲ 1,737 stars
→
4

affaan-m / ECC

JavaScript★ 276,399⑂ 0
→
5

NousResearch / hermes-agent

Python★ 252,502⑂ 0
→
6

deepseek-ai / deepseek-harness

TypeScript★ 246,948⑂ 0
→
7

multica-ai / andrej-karpathy-skills

★ 218,114⑂ 21,976▲ 279 stars
→
8

n8n-io / n8n

TypeScript★ 206,922⑂ 0
→

More AI Rankings