AI Skill Hub 强烈推荐:Brigade 是一款优质的Agent工作流。AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的Agent工作流解决方案,这是一个值得深入了解的选择。
Brigade 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
Brigade 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:pip 安装(推荐)
pip install brigade
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install brigade
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/escoffier-labs/brigade
cd brigade
pip install -e .
# 验证安装
python -c "import brigade; print('安装成功')"
# 命令行使用
brigade --help
# 基本用法
brigade input_file -o output_file
# Python 代码中调用
import brigade
# 示例
result = brigade.process("input")
print(result)
# brigade 配置文件示例(config.yml) app: name: "brigade" debug: false log_level: "INFO" # 运行时指定配置文件 brigade --config config.yml # 或通过环境变量配置 export BRIGADE_API_KEY="your-key" export BRIGADE_OUTPUT_DIR="./output"
<p align="center"> <img src="docs/assets/brigade-social-preview.jpg" alt="Brigade" width="900"> </p>
<p align="center"> <strong>AI agent memory, handoffs, and local guardrails for Codex, Claude Code, OpenCode, and a dozen other harnesses.</strong> </p>
<p align="center"> <img src="https://img.shields.io/github/actions/workflow/status/escoffier-labs/brigade/ci.yml?branch=main&style=for-the-badge&label=ci" alt="CI status"> <img src="https://img.shields.io/pypi/v/brigade-cli?style=for-the-badge&label=pypi" alt="PyPI version"> <img src="https://img.shields.io/badge/python-3.10%2B-blue?style=for-the-badge&logo=python&logoColor=white" alt="Python 3.10+"> <img src="https://img.shields.io/badge/license-MIT-green?style=for-the-badge" alt="MIT license"> </p>
Your agents run loops. Brigade keeps the receipts.
pipx install brigade-cli
brigade operator quickstart --target ./my-repo --harnesses codex
brigade operator doctor --target ./my-repo --profile local-operator
For an OpenClaw or Hermes workspace instead of a code repo:
brigade operator quickstart --target ~/agent-workspace --depth workspace --harnesses openclaw,hermes --owner openclaw
Use --dry-run first to preview the planned steps without writing anything; brigade init --target ./my-repo --harnesses codex --dry-run shows the full file-by-file list. Pass more harnesses as a comma-separated list. Quickstart only wires the harnesses you select and leaves the rest alone.
Write a handoff and check the wiring:
brigade handoff draft --target ./my-repo --inbox codex \
--title "What changed" \
--summary "Short note future agents should know." \
--content "The durable note itself goes here."
brigade handoff lint --target ./my-repo
brigade handoff doctor --target ./my-repo
New here? Start with docs/first-10-minutes.md. Already have a homegrown setup with scripts, crons, and handoff folders? Brigade has an adoption path that inventories what you have before changing anything: start with brigade operator adopt plan and see the technical guide. Want an agent to set this up for you? Point it at this repo; AGENTS.md tells it exactly what to do and where to stop.
高质量的开源AI工作流项目
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,Brigade 是一款质量优秀的Agent工作流,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | brigade |
| 原始描述 | 开源AI工作流:Brigade CLI: AI agent memory, handoffs, and local guardrails for Codex, Claude C。⭐26 · Python |
| Topics | AI工作流智能代理 |
| GitHub | https://github.com/escoffier-labs/brigade |
| License | MIT |
| 语言 | Python |
收录时间:2026-06-09 · 更新时间:2026-06-09 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端