terryso/open-agent-cli

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# OpenAgentCLI [![Swift](https://img.shields.io/badge/Swift-6.1-orange)](https://swift.org) [![Platform](https://img.shields.io/badge/platform-macOS%2013%2B-blue)](https://developer.apple.com/macos/) [![CI](https://github.com/terryso/open-agent-cli/actions/workflows/ci.yml/badge.svg)](https://github.com/terryso/open-agent-cli/actions/workflows/ci.yml) [![Coverage](https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/terryso/6cab3cc82b416a51b214640b36a1696e/raw/coverage.json)](https://github.com/terryso/open-agent-cli/actions) [![BMAD](https://bmad-badge.vercel.app/terryso/open-agent-cli.svg)](https://github.com/bmad-code-org/BMAD-METHOD) [![License: MIT](https://img.shields.io/badge/license-MIT-blue)](./LICENSE) Command-line AI Agent built with [OpenAgentSDK (Swift)](https://github.com/terryso/open-agent-sdk-swift) — a terminal tool that demonstrates the full power of the SDK's public API through a real, usable product. > **The ultimate proof of SDK capability.** If this CLI runs smoothly, the SDK's public API is complete. If it hits a wall, we've found an API gap. ## Features - **Streaming Output** — Real-time agent responses with ANSI-styled terminal output - **Interactive REPL** — Multi-turn conversations in the terminal - **Single-Shot Mode** — Quick one-off queries via command line - **Tool Visibility** — See which tools the agent calls and their results - **Session Persistence** — Save, resume, and fork conversations - **MCP Integration** — Connect external tool servers via Model Context Protocol - **Permission Control** — Choose from 6 permission modes for safe execution - **Multi-Provider LLM** — Anthropic (Claude) and OpenAI-compatible APIs (GLM, Ollama, etc.) - **Hook System** — Lifecycle event handlers for customization ## Quick Start ### Build & Run ```bash git clone https://github.com/terryso/open-agent-cli.git cd open-agent-cli swift build ``` ### Configure Create `~/.openagent/config.json`: ```json { "apiKey": "your-api-key", "provider": "openai", "baseURL": "https://open.bigmodel.cn/api/coding/paas/v4", "model": "glm-5.1" } ``` Or set environment variables: ```bash export OPENAGENT_API_KEY=your-api-key ``` ### Usage ```bash # Single-shot query swift run openagent "Explain Swift concurrency in one paragraph." # Interactive REPL swift run openagent # With options swift run openagent --model claude-sonnet-4-6 --max-turns 5 "Analyze this codebase" ``` ## Command Line Options | Option | Description | Default | |--------|-------------|---------| | `--model` | LLM model to use | `glm-5.1` | | `--api-key` | API key | config file or env | | `--provider` | LLM provider (`anthropic`, `openai`) | `anthropic` | | `--base-url` | Custom API endpoint | — | | `--mode` | Permission mode | `default` | | `--max-turns` | Maximum agent turns | `10` | | `--max-budget-usd` | Cost cap in USD | — | | `--system-prompt` | Custom system prompt | — | | `--thinking` | Thinking budget tokens | — | | `--log-level` | Log level (`debug`, `info`, `warn`, `error`) | — | | `--version` | Print version | — | | `--help` | Print help | — | ## Architecture ``` CLI Entry Point (ArgumentParser) │ ▼ AgentFactory ──── OpenAgentSDK.createAgent() │ ▼ OutputRenderer ◀── AsyncStream<SDKMessage> │ │ ▼ ▼ Terminal Agent Loop (SDK) ``` The CLI consumes only `import OpenAgentSDK` — zero internal module access. Every feature exercises the SDK's public API surface. ## Requirements - Swift 6.1+ - macOS 13+ - [OpenAgentSDK (Swift)](https://github.com/terryso/open-agent-sdk-swift) (as local dependency) ## Development ```bash # Build swift build # Run tests (124 tests) swift test # Run with coverage swift test --enable-code-coverage # Open in Xcode open Package.swift ``` ## Related Projects - [OpenAgentSDK (Swift)](https://github.com/terryso/open-agent-sdk-swift) — The SDK this CLI is built on - [OpenAgentSDK (TypeScript)](https://github.com/codeany-ai/open-agent-sdk-typescript) — TypeScript version - [OpenAgentSDK (Go)](https://github.com/codeany-ai/open-agent-sdk-go) — Go version ## License MIT

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bmad-distillator

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Lossless LLM-optimized compression of source documents. Use when the user requests to 'distill documents' or 'create a distillate'.

원문 언어: 영어

2026-04-19

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