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zigrix

v0.2.2

Published

Multi-project parallel task orchestration CLI for agent-assisted development

Readme


Why Zigrix

Most agent-heavy workflows break down in the same places:

  • work gets delegated, but not consistently tracked
  • specialist routing depends on memory, not policy
  • outputs arrive without structured evidence
  • final reporting is manual and hard to audit

Zigrix gives that flow a control surface: dispatch, worker lifecycle, evidence, and finalization in one runtime.


Is Zigrix for you?

Zigrix is a strong fit if you want:

  • one-time operator setup, then agent-driven execution
  • repeatable orchestration rules instead of ad-hoc delegation
  • recoverable local runtime state for task progress and reports
  • OpenClaw compatibility without requiring a plugin-based architecture

Zigrix may be a poor fit if your main goal is a hosted, multi-tenant control plane.


Supported environments

  • Operating systems: macOS, Linux
  • Runtime: Node.js (current LTS recommended)
  • Package manager: npm
  • OpenClaw: optional, but recommended for full orchestration flow

Zigrix still works as a standalone CLI when OpenClaw is not installed.


Quick Start

1) Install

npm install -g zigrix

From source:

./install.sh

2) Onboard

zigrix onboard

3) Verify

zigrix doctor
zigrix dashboard

That is the intended entry flow: install → onboard → done.


Usage model: human vs agent

| Role | Primary responsibility | |---|---| | Human operator | Install Zigrix, run zigrix onboard, verify readiness (zigrix doctor), then step out of day-to-day orchestration | | OpenClaw / automation agents | Run task/worker/evidence/report commands to execute and complete orchestration work | | Human (maintenance mode) | Use zigrix configure or zigrix reset only when reconfiguration or recovery is needed |

This split keeps normal operation agent-driven while keeping setup and governance human-controlled.


Core Workflow

Typical operational flow:

Human setup
  install -> zigrix onboard -> doctor check

Agent execution
  zigrix task dispatch
    -> worker prepare/register/complete
    -> evidence collect/merge
    -> task finalize + report

Common commands:

# Dispatch orchestration work
zigrix task dispatch --title "Implement auth module" --description "..." --scale normal --json

# Check runtime health
zigrix doctor

# Launch dashboard
zigrix dashboard --port 3838

# Maintenance surfaces
zigrix configure --section agents
zigrix configure --section skills
zigrix reset state --yes

What onboard does

zigrix onboard prepares runtime and integration in one pass:

  1. creates runtime directories from zigrix.config.json (paths.*) and default config/state structure
  2. seeds rule files from bundled templates
  3. ensures zigrix is reachable from the runtime-visible PATH
  4. detects OpenClaw and imports agents from openclaw.json
  5. registers bundled OpenClaw skills into ~/.openclaw/skills/ (including oz and the zigrix-* packs)
  6. leaves the environment ready for agent-led orchestration

OpenClaw Integration

When OpenClaw is present, Zigrix is optimized for this model:

  • import agent definitions and normalize roles
  • establish orchestrator ownership for task execution
  • register bundled OpenClaw skills for agent readiness checks
  • expose /oz as the public Zigrix chat entrypoint after onboarding
  • keep CLI reachability stable for OpenClaw runtime

After zigrix onboard, the expected chat-side entrypoints are:

  • /oz fix the auth flow
  • 이거 맡겨
  • route this through Zigrix

/oz is force-delegate. Natural-language delegation is judged semantically by the installed skill and should enter the standard Zigrix chain (zigrix task dispatch → orchestrator spawn) instead of falling back to direct execution.

Read the full integration contract in docs/openclaw-integration.md.


Dashboard

Zigrix ships with a built-in dashboard for real-time visibility into task orchestration.

zigrix dashboard --port 3838

Task Detail

Track execution units, evidence submissions, and spec previews — all in one view.

Event Log

Every state change is recorded as an immutable event — from dispatch through finalization.

Live Progress

Monitor in-progress tasks with real-time execution unit status and one-click cancellation.

Task Spec

Full task specification with metadata, scope definition, and routing rules — visible before and during execution.


Docs


Contributing

See CONTRIBUTING.md.

Support

See SUPPORT.md.

Security

See SECURITY.md.

License

Apache-2.0