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The openclaw-dynamic-workflow-plugin is a plugin developed for OpenClaw, supporting the orchestration of multiple isolated sub-agents to execute tasks in parallel via JavaScript scripts, enabling automated coordination of complex workflows such as codebase-level scanning and large-scale migrations.
Section 01
The openclaw-dynamic-workflow-plugin is a plugin developed for OpenClaw, supporting the orchestration of multiple isolated sub-agents to execute tasks in parallel via JavaScript scripts, enabling automated coordination of complex workflows such as codebase-level scanning and large-scale migrations.
Section 02
Section 03
In the development of AI-assisted programming tools, the limitations of single-turn conversations have gradually become apparent. When dealing with complex tasks that span multiple files and steps (such as codebase-level refactoring, security audits, and large-scale migrations), the traditional turn-by-turn interaction model struggles to coordinate effectively. Tools like Claude Code were the first to introduce the workflow concept, allowing agents to autonomously orchestrate multiple subtasks.
The openclaw-dynamic-workflow-plugin brings similar capabilities to the OpenClaw ecosystem— as a plugin rather than a core branch, it allows OpenClaw agents to write JavaScript orchestration scripts, distribute work to multiple isolated sub-agents via runtime execution, and finally aggregate the results to return to the user.
Section 04
Unlike directly modifying the OpenClaw core, this project is implemented as a plugin. This design offers several advantages:
Section 05
The core of the workflow lies in the isolated execution of sub-agents. Each subtask runs in an independent OpenClaw sub-session, which means:
Section 06
The entire workflow execution process can be summarized in the following steps:
workflow tool (user approval is required before execution)agent() callparallel() or pipeline() to achieve parallel fan-out (up to 16 concurrent tasks)Section 07
Scripts run in a Node.js VM context, with carefully designed available primitives injected:
| Primitive | Behavior Description |
|---|---|
await agent(prompt, { schema?, label? }) |
Generates an isolated sub-agent and returns the final text. Supports TypeBox/JSON Schema validation; retries up to 2 times if validation fails |
await parallel([() => agent(...), ...]) |
Barrier synchronization: All start, resolve after all complete, order preserved, returns null on failure |
await pipeline(items, stage1, stage2, …) |
Barrier-free stream processing: Each item flows through all stages independently; stages receive (prevResult, originalItem, index) |
phase(name) |
Opens a named phase; subsequent agents are grouped under this phase (for progress display and Canvas tree) |
log(message) |
Sends a progress log line |
args |
Input data provided by the caller |
budget |
Token budget object { total, spent(), remaining() } with hard upper limit |
Section 08
The security design uses a multi-layered strategy:
import/require/fs/shell/network access, but this is only a speed barrier, not a security boundary (node:vm can be escaped)The actual protection comes from this combination: trusted authors + user approval gating.
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