AI Skill Hub 强烈推荐:人工智能工作流 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。
人工智能工作流 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。
人工智能工作流 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 lemma-platform
# 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 lemma-platform
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/lemma-work/lemma-platform
cd lemma-platform
pip install -e .
# 验证安装
python -c "import lemma_platform; print('安装成功')"
# 命令行使用
lemma-platform --help
# 基本用法
lemma-platform input_file -o output_file
# Python 代码中调用
import lemma_platform
# 示例
result = lemma_platform.process("input")
print(result)
# lemma-platform 配置文件示例(config.yml) app: name: "lemma-platform" debug: false log_level: "INFO" # 运行时指定配置文件 lemma-platform --config config.yml # 或通过环境变量配置 export LEMMA_PLATFORM_API_KEY="your-key" export LEMMA_PLATFORM_OUTPUT_DIR="./output"
<img src="docs/Assets/Banner/banner.jpg" alt="Lemma — where humans and AI agents work as one team" width="100%">
Tables, workflows, approvals, and the app your team runs on. One pod — not a pile of glue code.
Quickstart · Inside a pod · Why Lemma · Surfaces · Coding agents · Docs
Website → lemma.work
</div>
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lemma-stack config set LEMMA_DEFAULT_MODEL_TYPE anthropic_compat lemma-stack config set LEMMA_ANTHROPIC_API_KEY sk-ant-...
Because a pod is just files, building one is a job a coding agent is already good at: describe the system you want to Claude Code, Codex, or Cursor, let it author the pod directory, and import it. The agent that builds it can also test it — create records, run the workflows, chat with the agents it just defined — because building and operating are the same CLI.
lemma pod init my-team # scaffold a starter bundle to edit (or: lemma agent|table|workflow init …)
lemma pod import ./the-pod-your-agent-wrote
lemma apps deploy my-app ./index.html # deploy a no-build HTML app (or a Vite project dir)
Python and TypeScript SDKs (with 25+ React hooks) live in lemma-python/ and lemma-typescript/. Generating your frontend elsewhere? Back it with a pod — the TypeScript SDK gives any app tables, agents, workflows, and permissions out of the box.
Easiest — use it with the coding agent you already have. Sign up at lemma.work/start, install the CLI, and drop Lemma's skills into your agent:
uv tool install lemma-terminal
lemma skills install # auto-detects Claude Code / Codex / OpenCode / Cursor
Now your agent can build and operate pods. Authenticate, create one, and start working:
lemma auth login
lemma pod create my-team --with-starter # scaffolds a working starter (table + agent) and imports it
lemma chat "what can you do in this pod?"
To run your coding agent inside Lemma — picking up tasks from a shared queue, streamed back through the pod — start the daemon:
lemma daemon start # serves pod-assigned runs via your local Claude Code / Codex / OpenCode
Run it locally — two ways.
macOS / Linux:
curl -fsSL https://raw.githubusercontent.com/lemma-work/lemma-platform/main/install.sh | bash
Windows (PowerShell, Docker Desktop required):
iwr https://raw.githubusercontent.com/lemma-work/lemma-platform/main/install.ps1 | iex
This installs the lemma-stack tool and runs the app at http://127-0-0-1.sslip.io:3711 and the API at http://127-0-0-1.sslip.io:8711 (docs at /scalar). Use that 127-0-0-1.sslip.io host — it resolves to 127.0.0.1, but sign-in is scoped to it, so localhost / 127.0.0.1 won't authenticate. Manage it with lemma-stack start|stop|status|logs|config|uninstall. Point the CLI at it:
lemma servers select local
lemma auth login
Set model keys and backend env (stored under [backend.env] in ~/.lemma/local/config.toml), then restart:
```bash
lemma-stack config set COMPOSIO_API_KEY <key> lemma-stack restart ```
See docs/installation.md for the full per-provider setup.
See docs/installation.md for the full env list and setup guide.
开源AI工作流平台,功能强大,易于扩展
该工具使用 AGPL-3.0 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。
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。
⚠️ AGPL 3.0 — 最严格的 Copyleft,网络服务端使用也需开源,SaaS 使用受限。
总体来看,人工智能工作流 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 | lemma-platform |
| Topics | aiworkflowpython |
| GitHub | https://github.com/lemma-work/lemma-platform |
| License | AGPL-3.0 |
| 语言 | Python |
收录时间:2026-07-07 · 更新时间:2026-07-07 · License:AGPL-3.0 · 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