
serverless-devs/agentrun-cli
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AgentRun CLI (agentrun / ar) — A command-line tool for managing AI agent infrastructure on the AgentRun platform.
개요
Command-line tool for managing AI-agent infrastructure on the AgentRun platform. ar (or agentrun) is a single-binary CLI that wraps the AgentRun Python SDK. It lets developers, CI pipelines, and LLM-powered agents create and operate sandboxes, tools, skills, model services and — most importantly — : platform-hosted AI agents that you configure declaratively without writing or deploying any runtime code. - — ar super-agent run creates a hosted agent and drops you into a chat REPL in seconds. - — Kubernetes-style YAML (ar sa apply -f superagent.yaml) for reproducible, version-controlled agents. - — ar runtime apply -f runtime.yaml deploys an Agent Runtime from an image, or invokes a cloud build first when the YAML defines cloudBuild. - — config, model, sandbox, tool, skill, super-agent, runtime, all following the same ar pattern. - — store multiple sets of credentials in ~/.agentrun/config.json and switch with --profile. - — json (default), table, yaml, and quiet for shell piping.
README
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AgentRun CLI
Command-line tool for managing AI-agent infrastructure on the AgentRun platform.
ar (or agentrun) is a single-binary CLI that wraps the AgentRun Python SDK. It lets
developers, CI pipelines, and LLM-powered agents create and operate sandboxes, tools,
skills, model services and — most importantly — super agents: platform-hosted AI
agents that you configure declaratively without writing or deploying any runtime code.
Features
- One-command super agent —
ar super-agent runcreates a hosted agent and drops you into a chat REPL in seconds. - Declarative deployment — Kubernetes-style YAML (
ar sa apply -f superagent.yaml) for reproducible, version-controlled agents. - Runtime declarative deploy —
ar runtime apply -f runtime.yamldeploys an Agent Runtime from an image, or invokes a cloud build first when the YAML definescloudBuild. - Seven resource groups —
config,model,sandbox,tool,skill,super-agent,runtime, all following the samearpattern. - Multi-profile config — store multiple sets of credentials in
~/.agentrun/config.jsonand switch with--profile. - Multiple output formats —
json(default),table,yaml, andquietfor shell piping. - Agent-friendly — JSON-by-default output, deterministic exit codes, no interactive prompts when stdin isn’t a TTY.
- Rich sandbox primitives — code execution, file system, process management, and CDP/VNC-backed browser automation.
- Single-file distribution — PyInstaller produces standalone
ar/agentrunbinaries for Linux, macOS and Windows (x86_64 + arm64).
Installation
From PyPI (recommended)
pip install agentrun-cli
Prebuilt binary
Download a single self-contained binary from Releases. No Python required.
Linux / macOS (x86_64 or arm64):
curl -fsSL https://raw.githubusercontent.com/Serverless-Devs/agentrun-cli/main/scripts/install.sh | sh
Windows (x86_64, PowerShell):
irm https://raw.githubusercontent.com/Serverless-Devs/agentrun-cli/main/scripts/install.ps1 | iex
Pin a specific version with AGENTRUN_VERSION=v0.1.0 …. Change the install directory with AGENTRUN_INSTALL=…. Both installers verify the SHA256 checksum before placing the binary.
Or download the archive manually from the Releases page — naming scheme:
agentrun---.
# e.g. agentrun-0.1.0-linux-amd64.tar.gz
# agentrun-0.1.0-darwin-arm64.tar.gz
# agentrun-0.1.0-windows-amd64.zip
From source
git clone https://github.com/Serverless-Devs/agentrun-cli.git
cd agentrun-cli
make install # editable install into .venv
make build # standalone binary → dist/agentrun
Verify
ar --version # or: agentrun --version
Prerequisites
추천 도구
다른 키워드를 입력하거나 필터를 제거해 보세요.
설치
npx skillfish add serverless-devs/agentrun-cli