GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Governed execution cells for AI agents: Docker/K8s sandboxes with policy, audit, and approvals.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
RUNEWARD_CONFIG_DIR, RUNEWARD_STATE_DIR你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"runeward": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"RUNEWARD_CONFIG_DIR",
"-e",
"RUNEWARD_STATE_DIR",
"ghcr.io/runewardd/runeward:v0.1.4"
],
"env": {
"RUNEWARD_CONFIG_DIR": "your-value",
"RUNEWARD_STATE_DIR": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add runeward --env RUNEWARD_CONFIG_DIR=your-value --env RUNEWARD_STATE_DIR=your-value -- docker run -i --rm -e RUNEWARD_CONFIG_DIR -e RUNEWARD_STATE_DIR ghcr.io/runewardd/runeward:v0.1.4运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"runeward": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"RUNEWARD_CONFIG_DIR",
"-e",
"RUNEWARD_STATE_DIR",
"ghcr.io/runewardd/runeward:v0.1.4"
],
"env": {
"RUNEWARD_CONFIG_DIR": "your-value",
"RUNEWARD_STATE_DIR": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"runeward": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"RUNEWARD_CONFIG_DIR",
"-e",
"RUNEWARD_STATE_DIR",
"ghcr.io/runewardd/runeward:v0.1.4"
],
"env": {
"RUNEWARD_CONFIG_DIR": "your-value",
"RUNEWARD_STATE_DIR": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
RUNEWARD_CONFIG_DIR envRUNEWARD_STATE_DIR env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 Runewardd 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.4)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Rune Box: an environment where your agent can roam freely but with receipts.
The open-source governance harness for AI agents, by Runeward.
Put enforceable policy, human approvals, isolated execution, budgets, and signed evidence around any AI agent. Rune Box works with an existing agent or multi-agent framework rather than requiring a new model or orchestration stack.
Prerequisites: a running Docker, OrbStack, or Podman engine and the runeward binary.
runeward quickstart
The command creates .runeward/quickstart.toml, checks the policy, runtime, image, and state path, runs an allowed command, proves a destructive command is denied before execution, and verifies the signed audit trail. It never overwrites an existing policy unless --force is passed.
doctor and dashboard readiness also resolve required secret sources. A Charter that references an unset env:// value is not presented as launch-ready.
runeward doctor quickstart # explain setup problems safely
runeward --config-dir .runeward serve # dashboard + governed REST API runeward evidence export quickstart -o run.json runeward evidence verify run.json # independent policy/audit verification
| Concern | Container alone | Rune Box |
|---|---|---|
| Tool calls | Executes what the process requests | Checks every shell, code, file, network, and browser action first |
| Risky actions | Application-specific | allow, deny, or require-approval with an attributed decision |
| Network | Usually open unless separately configured | Deny-by-default hostname policy; strict L3 enforcement on Kubernetes |
| Limits | CPU/memory | Wall-clock, exec, egress, token, cost, and retry-loop budgets |
| Audit | Runtime logs | Append-only, hash-chained, Ed25519-signed events |
| Handoff | Ad-hoc logs and folders | Workspace tar, recovery snapshots, and portable signed evidence JSON |
| Agent identity | One opaque process | Tenant, actor, parent run, provider, model, and durable run lineage |
| Interfaces | Runtime-specific | CLI, REST, MCP, web dashboard, Kubernetes CRDs, and local SDK adapters |
Every governed action follows one path:
agent request → policy → human approval when required → limits → sandbox → signed audit event
Documentation and UI use familiar terms first. Existing API paths and file fields retain the original themed names for compatibility.
| Plain-language term | Rune Box name | Existing surface |
|---|---|---|
| Sandbox | Citadel | /v1/citadels, Kubernetes Citadel |
| Policy file/profile | Charter | /v1/charters, *.toml profile |
| Approvals | Conclave | /v1/conclave |
| Signed audit trail | Chronicle | /v1/chronicle, [chronicle] |
| Network controls | Perimeter | /perimeter, [network] |
| Budgets and limits | Rationing | [rationing] |
| Agent group/fleet | Cohort | /v1/cohorts, [cohort] |
| Signed policy bundle | Archive | runeward archive, [policy_bundle] |
See the full naming and writing convention.
Choose the package that matches how you use Rune Box:
| Install with | What it installs | Command |
|---|---|---|
| Homebrew | Rune Box CLI for macOS or Linux | brew install Runeeward/tap/runebox |
| PyPI | Python client and agent-framework adapters | python -m pip install runeward |
| npm | TypeScript client and agent-framework tools | npm install @runeward/sdk |
For normal local use, install the CLI with Homebrew. For an agent integration, install the SDK for its language as well. The pip and npm packages connect to a running Rune Box API; they do not replace the CLI/runtime.
Local sandboxes require a running Docker, OrbStack, or Podman engine.
brew install Runeeward/tap/runebox
runeward version runeward quickstart
Requires Python 3.9 or newer. The base client has no third-party runtime dependencies.
python -m pip install runeward
python -c "import runeward; print(runeward.version)"
Requires Node.js 18 or newer.
npm install @runeward/sdk
npm ls @runeward/sdk
See Adapters for LangChain, CrewAI, LlamaIndex, OpenAI Agents, Strands, Vercel AI SDK, and LangChain.js installation options.
The signed macOS/Linux installer requires cosign so it can fail closed while verifying the checksum manifest. Windows binaries are available from Releases.
curl -fsSL https://raw.githubusercontent.com/Runeeward/RuneBox/main/install.sh | sh
To build the current main branch, use Rust 1.95 or newer (the workspace MSRV):
git clone https://github.com/Runeeward/RuneBox
cd RuneBox cargo build --release --locked -p runeward-cli --bin runeward ./target/release/runeward version
cargo install --locked --path crates/runeward-cli installs it into ~/.cargo/bin instead.
Expose governed tools to an MCP-capable IDE or agent:
{
"mcpServers": { "runeward": { "command": "runeward", "args": ["mcp", "--config-dir", ".runeward"] } } }
Or place an agent CLI inside a sandbox and run one or many governed workers:
runeward cohort --agent claude --model sonnet build "Build a tested API"
Adapters are included for LangChain, CrewAI, LlamaIndex, OpenAI Agents, Strands, Vercel AI SDK, and LangChain.js. See Adapters and agent groups.
The dashboard also has a read-only Live chat TTY for each Citadel. Agent harnesses publish user, assistant, tool, and system turns with runeward_publish_conversation (or the REST, Python, and TypeScript equivalents), and authorized teammates can follow the redacted conversation without terminal input access. Rune Box cannot infer private UI chat text that the agent client does not publish; wire the publish call into the harness turn callback. The publisher must connect to the same runeward serve control plane as the dashboard (through /mcp, REST, or an SDK).
Rune Box is the enforcement boundary around an agent, not the component that decides how the agent reasons. Route the tool calls of a parent agent and each delegated subagent through Rune Box to give them explicit policy, approval, isolation, budget, and evidence boundaries.
Existing concepts keep their meaning: a Cohort is a group of peer workers sharing a task board; it is not being renamed to “subagents.” The orchestrator still decides when to delegate, while Rune Box records the parent/run/provider lineage and prevents a child Citadel from widening its parent's tenant or Charter. Every participating agent can receive its own Citadel and Chronicle. See Agent harnessing.
Policies support built-in glob rules, CEL, OPA/Rego, and signed OCI bundles. Test them in CI, start from a reviewed scaffold, or derive exact proposals from verified production evidence:
runeward policy scaffold package-approval
runeward policy test quickstart --case 'tool=shell,action=rm -rf /,expect=deny' runeward policy learn run.json > proposed-policy.toml
policy learn never edits a policy automatically. It verifies the evidence first, skips redacted actions, produces exact matches, and requires a human to review and broaden them.
--allow-insecure-http explicitly acknowledges that a trusted reverse proxy terminates TLS.RUNEWARD_ENABLE_EXPERIMENTAL_BROWSER=1 after reviewing the security model. Browser-capable Charters declare capabilities = ["browser"]; the dashboard then exposes governed rendered-text and screenshot actions and their policy/egress results.RUNEWARD_ENABLE_EXPERIMENTAL_IDE=1, Charter [ide], Dockerfile.ide targets ide / ide-agents, examples ide-demo / ide-claude / ide-codex / ide-cursor. Limits: not per-keystroke policy; no Cursor/Claude Desktop/Codex GUIs inside the environment; no first-class GitHub Copilot on code-server. See Browser IDE and the security model.Beyond per-action policy, a Charter can confine the agent process itself and keep its work:
runeward-supervisor runs as PID 1 in the sandbox image and launches the agent under Landlock filesystem rules, a seccomp filter and a dropped identity, from the Charter's [filesystem] and [process] sections. See Isolation and the security model.[[endpoint]] and [[credential]] entries let the egress proxy inject real secrets into approved requests while the agent only ever sees a placeholder, and an endpoint's binaries restrict it to the listed executables (attributed per connection by the in-sandbox supervisor, strict egress only). See the security model.[workspace] persist = true keeps a workspace across sleep, wake and control-plane restarts; forks start from a copy. Agent turns, Cohort memory, handoffs and [schedule] runs build on it. See [Workspaces and conte只显示了开头部分;其余内容请在仓库中阅读