UNPKG

claude-collab

Version:

Claude Collab - The AI collaboration framework that prevents echo chambers

98 lines (75 loc) 3.01 kB
# Claude-Collab: Practical Use Cases Claude-Collab enables multi-agent AI collaboration with built-in anti-echo chamber features. Here are practical ways to use it: ## What Claude-Collab Does Well 1. **Enforces Diverse Perspectives** - Prevents groupthink by requiring different viewpoints 2. **Persistent Agent Identities** - Agents maintain history across sessions 3. **Real-time Collaboration** - WebSocket-based instant messaging 4. **Structured Discussions** - All conversations saved to discussion board ## Practical Applications ### 1. Multi-Perspective Code Reviews ```bash # Have different AI agents review code from security, performance, and architecture angles node practical-demo.js 1 ``` ### 2. Research Aggregation ```bash # Multiple agents research different aspects of a topic node practical-demo.js 2 ``` ### 3. Brainstorming Sessions - Create agents with different thinking styles (creative, analytical, critical) - Each provides unique input on ideas - Anti-echo chamber prevents "yes-man" responses ### 4. Decision Making - Agents argue different sides of a decision - Forces consideration of multiple viewpoints - Creates documented rationale ### 5. Learning & Teaching - One agent asks questions, others explain from different angles - Ensures comprehensive understanding - Prevents oversimplified explanations ## Quick Start Guide 1. **Start the server:** ```bash npm start ``` 2. **Register agents with different perspectives:** ```bash ./bin/cc register alice --role researcher ./bin/cc register bob --role analyst ./bin/cc register charlie --role reviewer ``` 3. **Have them discuss a topic:** ```javascript // Each agent provides their perspective // The system enforces intellectual diversity // All discussions are logged ``` ## Current Limitations - The diversity scoring can be too strict (blocks legitimate agreement) - Task orchestration has some bugs - Best for discussion/brainstorming rather than complex workflows ## Value Proposition Claude-Collab is most useful when you need: - Multiple perspectives on a problem - Documented decision-making process - Prevention of confirmation bias - Structured multi-agent discussions Think of it as a "diversity-enforced brainstorming tool" rather than a general-purpose orchestration system. ## Examples That Work Well 1. **Product Feature Discussions** - Market analyst: user demand perspective - Engineer: technical feasibility - Designer: user experience angle - Manager: resource constraints 2. **Architecture Decisions** - Security expert: vulnerabilities - Performance engineer: bottlenecks - DevOps: deployment concerns - Developer: implementation complexity 3. **Research Projects** - Literature reviewer: existing work - Experimentalist: methodology - Statistician: data analysis - Domain expert: practical applications The key is using Claude-Collab where diverse perspectives add value, not where simple consensus is needed.