抛弃OpenClaw！我们自建了AI引擎——OpenClaw引擎实战：从CC协作到Bot搭建

This live stream from May 27, 2026 demonstrates building a custom AI Agent engine from scratch as an alternative to the slow OpenClaw system. The session provides hands-on guidance for constructing an AI engine, covering four key pain points with OpenClaw and showing practical implementation from CC collaboration to Bot deployment. The content focuses on replacing inefficient existing solutions with a self-built, optimized AI engine architecture.

Key Points

• •Identify and address four critical pain points with OpenClaw that justify building a custom solution
• •Design AI Agent engine architecture from foundational principles for optimal performance
• •Implement CC (Collaboration/Communication) framework for multi-agent coordination
• •Build Bot deployment pipeline with proper configuration and lifecycle management
• •Optimize engine performance to exceed OpenClaw's speed and efficiency benchmarks
• •Establish proper testing and validation procedures for custom AI engine
• •Document architecture decisions and implementation patterns for team knowledge sharing

Workflow Diagram

Concepts