OpenAgentPack: Managing and Migrating Cloud AI Agents Like Code

OpenAgentPack is an open‑source tool that lets you describe a cloud AI Agent’s entire workflow—including model, environment, skills, MCP, knowledge files and credentials—in a single agents.yaml file, version it in Git, preview changes with validate and plan commands, and redeploy the agent across providers while preserving reproducibility, collaboration and auditability.

Alibaba Cloud Native
Alibaba Cloud Native
Alibaba Cloud Native
OpenAgentPack: Managing and Migrating Cloud AI Agents Like Code

Problem

Cloud AI agents are configured across multiple consoles (prompts, MCP, skills, knowledge files, credentials). Migrating to a new machine, account or provider requires manual reconstruction and is error‑prone.

Solution – OpenAgentPack

Encapsulates an entire agent in a single declarative agents.yaml file. The file defines model, runtime, tools, skills, memory, scheduling and required permissions. Because the file is version‑controlled, the agent can be reviewed, shared and rolled back like source code.

Core workflow

agents.yaml → validate → plan → apply

Commands:

agents validate
agents plan
agents apply

Plan step

Compares three states:

Config : desired agent definition from agents.yaml.

State : locally stored mapping of managed resource IDs and content hashes.

Remote : actual resources that exist on the cloud provider.

The output lists resources that will be created, updated or deleted and detects drift before any change is applied.

Provider capability matrix

Each capability is marked as native, emulated or unsupported, making it clear which parts of the workflow are portable.

Deployments

Long‑running workflows can be declared as deployments:

deployments:
  daily-report:
    agent: reporter
    schedule:
      expression: "0 9 * * *"
      timezone: Asia/Shanghai
    initial_events:
      - type: user.message
        content: "Summarize yesterday's project progress and generate a daily report using the template."

Local Playground

The CLI ships with a Playground that reads the same agents.yaml, starts a real cloud session, and shows which tools are invoked and what output is produced.

Getting started

Prerequisites: Node.js 22+ and credentials for a supported provider.

npm install -g @openagentpack/cli
mkdir my-agents && cd my-agents
agents init
agents validate
agents plan
agents apply
agents session run "Introduce what you can do" --agent assistant
agents playground

Status

OpenAgentPack is in beta (v1.0). The agents.yaml schema is stable but may evolve; users are encouraged to start with a test agent.

References

GitHub repository: https://github.com/modelstudioai/OpenAgentPack

Getting‑started guide (Chinese): https://github.com/modelstudioai/OpenAgentPack/blob/main/docs/getting-started.zh-CN.md

Examples: https://github.com/modelstudioai/OpenAgentPack/tree/main/examples

Provider capability matrix: https://github.com/modelstudioai/OpenAgentPack/blob/main/docs/reference/providers.zh-CN.md

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CLIcloud nativeAI Agentsworkflow automationGitOpsOpenAgentPack
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