A sophisticated multi-agent collaboration framework that utilizes Redis to coordinate Planner, Drafter, Validator, and Dispatcher stages.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install taichi
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install taichi using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Taichi Framework is a robust multi-agent orchestration system designed to manage complex task lifecycles through three distinct execution modes. By leveraging a Redis-based message bus, it enables seamless coordination between specialized agent roles, allowing developers to build highly scalable Openclaw Skills that can handle everything from simple linear tasks to massive parallel data processing.
The framework provides a structured four-stage workflow—Planning, Drafting, Validation, and Dispatching—ensuring that every task is vetted and executed with high precision. Whether you are running a single local agent or a distributed swarm, Taichi provides the architectural backbone needed for reliable agentic automation.
To get started with this skill, ensure you have a running Redis server and follow these installation steps:
# Install dependencies and setup the environment
cd $HOME/.openclaw/workspace/taichi-framework
./install.sh
# Ensure Redis is running
redis-server --daemonize yes
# Activate the virtual environment
source venv/bin/activate
The Taichi Framework organizes data and communication through a structured metadata system and a Redis backend:
| Component | Data Type | Description |
|---|---|---|
| Orchestrator | CLI Arguments | Defines mode (centralized, distributed, hybrid) and worker counts. |
| Message Bus | Redis Streams | Handles real-time communication between Planner, Drafter, and Validator. |
| Task State | JSON Metadata | Tracks the lifecycle of a request from planning to final dispatch. |
| Worker Pool | Process IDs | Manages the allocation of N workers for parallel execution tasks in Openclaw Skills. |
--workers flag to define specific agent counts for different pipeline stages.Loading
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