智能工作流 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
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。
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:npm 全局安装 npm install -g omadia # 方式二:npx 直接运行(无需安装) npx omadia --help # 方式三:项目依赖安装 npm install omadia # 方式四:从源码运行 git clone https://github.com/byte5ai/omadia cd omadia npm install npm start
# 命令行使用
omadia --help
# 基本用法
omadia [options] <input>
# Node.js 代码中使用
const omadia = require('omadia');
const result = await omadia.run(options);
console.log(result);
# omadia 配置说明 # 查看配置选项 omadia --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export OMADIA_CONFIG="/path/to/config.yml"
<img src="docs/media/omadia-wordmark.png" alt="omadia" width="820">
- Privacy Shield: a data-plane boundary that interns raw tool results and exposes only an identity-free digest to the LLM (harness-plugin-privacy-guard, privacyMode.ts) - Answer verifier: claim-checks each answer against its sources and returns a verdict before it ships (harness-verifier, verifierService.ts) - Office compute: create_xlsx / create_docx build real spreadsheets and documents server-side, resolving dataset rows without routing them through the model (harness-plugin-office) - Plugin runtime: channels, integrations, tools, sub-agents, and capability providers; everything is a plugin behind a stable API surface (@omadia/plugin-api) - Builder: UI-driven plugin authoring with codegen, slot-typecheck, in-process ESLint auto-fix, and a runtime smoke harness - Knowledge graph: pgvector-backed (Postgres) with an in-memory alternative for tests - Channels: web-chat (admin UI) is in-tree; Teams and Telegram ship as separately-distributed plugin ZIPs - Auth: multi-provider login (local password + OIDC), per-provider user table, admin UI for provider toggle and user management - Routines: user-authored cron-triggered agent runs with a full per-run trace and call-stack viewer
The quickstart runs entirely in containers, so the host stays light:
- Docker 24+ with the Docker Compose v2 plugin (the docker compose subcommand, not the legacy docker-compose binary) - Git, to clone the repository
That is the whole list for running omadia. A local Node toolchain is only needed when you build the services from source or develop plugins:
- Node 22.x for the middleware and admin UI outside Docker. The pinned version lives in .nvmrc, so nvm use picks it up. The middleware blocks installation on a mismatched major version, because native modules are built against a specific ABI.
See CONTRIBUTING.md for the full from-source setup.
docker compose up -d
open http://localhost:3333
`docker compose up -d` pulls exactly three services and nothing else. Open the UI,
set your LLM key in the wizard, and run your first agent team. The next section is
the 90-second "wow moment". Diagrams, embeddings, and object storage are opt-in
(see [Optional features](#optional-features)).
Pin a specific release instead of the latest with the `OMADIA_VERSION` shell
variable (or a project-root `.env` file, not `middleware/.env`), or build the
images from source instead of pulling:
bash OMADIA_VERSION=v0.3.0 docker compose up -d # pin a release docker compose -f docker-compose.yaml -f docker-compose.build.yaml up -d --build # build locally ```
Pull fails withmanifest unknown? The GHCR images publish on each release, so a brand-new checkout can briefly predate the first published image. Build from source with the--buildline above until a release lands.
- Local / single-tenant: docker compose up, see Quickstart above - Bring-your-own: the runtime is a stock Node + Postgres app; any host that can run both works (Kubernetes, ECS, plain VM).
Required production secret. The shipped image runs withNODE_ENV=production, which makesVAULT_KEYmandatory at boot; without it the middleware refuses to start (this is intentional; the dev fallback writes the master key into the data volume, which is not safe at rest). Generate one withopenssl rand -base64 32and wire it as a platform secret before the first deploy. The bundleddocker-compose.yamlpinsNODE_ENV=developmentso the dev fallback stays available for localdocker compose upwithout configuration; drop that override (and setVAULT_KEYin.env) when you re-use the compose file as a starting point for a non-local deploy.
```bash git clone https://github.com/byte5ai/omadia.git && cd omadia
The minimal core is postgres + middleware + admin UI. Diagrams, embeddings, and object storage are off by default. Each is an overlay file you add with -f, which starts the sidecar and switches on the matching plugin.
```bash
Start here: byte5ai/omadia-plugin-starter. A ready-to-fork template for your own omadia plugin. Clone it, fill in your logic against @omadia/plugin-api, and ship.
omadia plugins are self-contained ZIP files that the operator uploads through the admin UI. The platform never trusts external npm registries at runtime; plugins ship node_modules baked in, or use the platform's standard library via @omadia/plugin-api. Two reference plugins are also shipped in-tree as starting points:
- agent-reference-maximum: exercises every capability in the plugin API - agent-seo-analyst: a smaller, focused tool-only example
The Builder UI walks operators through cloning either reference, slot-filling the differentiating logic, and verifying with the smoke runner before install.
Port already in use. The core binds 3333 for the admin UI plus the Postgres port. If another process holds one of them, the affected container exits on start. Free the port, or remap it in your own compose override, then re-run docker compose up -d.
VAULT_KEY missing at boot. A production image (NODE_ENV=production) refuses to start without VAULT_KEY, on purpose. Generate one with `openssl rand -base64 32 and set it in your project-root .env` before deploying. The bundled docker-compose.yaml pins NODE_ENV=development, so a local `docker compose up` keeps the dev fallback. Full context lives in Deployment.
Optional overlay not found. Optional features are overlay files added with repeated -f flags, not Compose profiles. Pass the full filename, for example -f docker-compose.yaml -f docker-compose.storage.yaml. A bare `--profile storage` matches nothing here.
Node version mismatch from source. The middleware pins its Node major version in .nvmrc and stops npm install on a different one, because better-sqlite3 and other native modules are compiled against a specific ABI. Run nvm use in the repository root before installing.
omadia 是一个项目,提供了一个强大的插件运行时环境,支持多种功能和工具,包括通道、集成、工具、子代理和能力提供者等。它提供了一个稳定的 API 表面,方便开发者创建自己的插件。
omadia 提供了以下功能:插件运行时环境、插件作者工具(Builder)、知识图谱等。插件运行时环境支持多种类型的插件,包括通道、集成、工具、子代理和能力提供者等。Builder 提供了一个 UI 驱动的插件作者工具,支持代码生成、类型检查、 ESLint 自动修复和运行时烟囱测试等功能。知识图谱基于 pgvector 支持 Postgres 和内存中的替代方案。
安装 omadia 需要使用 Docker Compose,首先需要克隆 omadia 仓库,然后使用 `docker compose up` 命令启动 omadia。需要注意的是,omadia 需要 LLM 密钥和 VAULT_KEY 等环境变量。
使用 omadia 的步骤如下:首先需要克隆 omadia 仓库,然后使用 `docker compose up` 命令启动 omadia。接下来,需要设置 LLM 密钥和 VAULT_KEY 等环境变量。最后,可以使用 omadia 的 UI 驱动工具来创建和管理插件。
omadia 支持多种配置方式,包括环境变量、MCP 和关键参数等。环境变量可以通过 `.env` 文件来配置,MCP 可以通过 `middleware/MCP` 文件来配置。关键参数可以通过 `middleware/config` 文件来配置。
omadia 提供了一个稳定的 API 表面,方便开发者创建自己的插件。API 支持多种类型的请求和响应,包括 GET、POST、PUT 和 DELETE 等。开发者可以通过 `@omadia/plugin-api` 包来访问 omadia 的 API。
omadia 支持多种工作流和模块,包括 Mermaid / PlantUML / Vega 渲染等。这些工作流和模块可以通过 Docker Compose 来启动和管理。开发者可以通过 `docker compose up` 命令来启动 omadia 的工作流和模块。
高质量的开源AI工作流项目
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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。
经综合评估,智能工作流 在Agent工作流赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | omadia |
| 原始描述 | 开源AI工作流:Self-hostable agentic OS. Build, run & audit multi-agent AI teams from signed pl。⭐15 · TypeScript |
| Topics | aitypescriptdockeragentic-os |
| GitHub | https://github.com/byte5ai/omadia |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-06-10 · 更新时间:2026-06-11 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
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