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📝
Shared Scratchpad Collaboration(SSC)
Multiple agents collaborate transparently on a common workspace with shared visibility of all work
Complexity: mediumMulti-Agent
🎯 30-Second Overview
Pattern: Multiple agents collaborate transparently on a common workspace with shared visibility of all work
Why: Eliminates information silos, enables natural collaboration flow, and provides transparent decision-making through real-time visibility
Key Insight: Shared state + real-time visibility + progressive building + transparent process = natural collaborative intelligence
⚡ Quick Implementation
1Initialize:Create shared state/workspace accessible to all agents
2Define:Establish collaboration protocols and update formats
3Coordinate:Agents read, contribute, and build upon shared work
4Synchronize:Real-time visibility of all agent contributions
5Converge:Collaborative refinement toward final outcome
Example: shared_workspace.init() → agents.collaborate() → real_time_updates() → iterative_refinement()
📋 Do's & Don'ts
✅Design clear shared state schema with structured sections
✅Implement real-time visibility of all agent contributions
✅Use version control and conflict resolution mechanisms
✅Establish clear protocols for agent contribution formats
✅Enable progressive building and iterative refinement
✅Implement proper access control and edit permissions
✅Maintain clear audit trails of all contributions
✅Design for transparent decision-making processes
❌Allow unstructured or conflicting update formats
❌Create information silos between agents
❌Skip conflict resolution for simultaneous edits
❌Ignore the computational overhead of shared state
❌Allow agents to overwrite each other without coordination
❌Forget to implement rollback mechanisms for errors
🚦 When to Use
Use When
- • Collaborative content creation workflows
- • Transparent decision-making processes
- • Multi-perspective problem solving
- • Iterative refinement requirements
- • Cross-agent learning scenarios
- • Consensus-building applications
Avoid When
- • Independent parallel processing needs
- • High-security compartmentalized tasks
- • Simple linear workflow requirements
- • Resource-constrained environments
- • Real-time performance critical systems
- • Single-agent sufficient scenarios
📊 Key Metrics
Collaboration Efficiency
% time agents building vs duplicating work
Transparency Score
Visibility of decision-making process
Convergence Rate
Time to reach collaborative consensus
Cross-Agent Learning
% insights shared between agents
State Synchronization
Real-time update propagation speed
Conflict Resolution
% edit conflicts resolved automatically
Progressive Quality
Output improvement over iterations
💡 Top Use Cases
Collaborative Document Creation: Multiple writing agents (research, content, editing, review) working on shared document with real-time visibility
Software Architecture Design: Architecture, security, performance, and UX agents collaboratively designing system with shared blueprint
Strategic Planning: Market, financial, operational, and risk agents building comprehensive business strategy in shared workspace
Scientific Research: Literature, methodology, analysis, and peer review agents collaborating on research paper with transparent process
Product Development: User research, design, engineering, and QA agents iteratively building product requirements in shared specification
Legal Document Review: Subject matter, compliance, risk, and editorial agents collaborating on contract analysis with full visibility
Creative Brainstorming: Concept, narrative, visual, and technical agents building creative project with transparent ideation process
Educational Curriculum: Subject expert, pedagogy, assessment, and accessibility agents designing course with collaborative refinement
References & Further Reading
Deepen your understanding with these curated resources
Contribute to this collection
Know a great resource? Submit a pull request to add it.
📝
Shared Scratchpad Collaboration(SSC)
Multiple agents collaborate transparently on a common workspace with shared visibility of all work
Complexity: mediumMulti-Agent
🎯 30-Second Overview
Pattern: Multiple agents collaborate transparently on a common workspace with shared visibility of all work
Why: Eliminates information silos, enables natural collaboration flow, and provides transparent decision-making through real-time visibility
Key Insight: Shared state + real-time visibility + progressive building + transparent process = natural collaborative intelligence
⚡ Quick Implementation
1Initialize:Create shared state/workspace accessible to all agents
2Define:Establish collaboration protocols and update formats
3Coordinate:Agents read, contribute, and build upon shared work
4Synchronize:Real-time visibility of all agent contributions
5Converge:Collaborative refinement toward final outcome
Example: shared_workspace.init() → agents.collaborate() → real_time_updates() → iterative_refinement()
📋 Do's & Don'ts
✅Design clear shared state schema with structured sections
✅Implement real-time visibility of all agent contributions
✅Use version control and conflict resolution mechanisms
✅Establish clear protocols for agent contribution formats
✅Enable progressive building and iterative refinement
✅Implement proper access control and edit permissions
✅Maintain clear audit trails of all contributions
✅Design for transparent decision-making processes
❌Allow unstructured or conflicting update formats
❌Create information silos between agents
❌Skip conflict resolution for simultaneous edits
❌Ignore the computational overhead of shared state
❌Allow agents to overwrite each other without coordination
❌Forget to implement rollback mechanisms for errors
🚦 When to Use
Use When
- • Collaborative content creation workflows
- • Transparent decision-making processes
- • Multi-perspective problem solving
- • Iterative refinement requirements
- • Cross-agent learning scenarios
- • Consensus-building applications
Avoid When
- • Independent parallel processing needs
- • High-security compartmentalized tasks
- • Simple linear workflow requirements
- • Resource-constrained environments
- • Real-time performance critical systems
- • Single-agent sufficient scenarios
📊 Key Metrics
Collaboration Efficiency
% time agents building vs duplicating work
Transparency Score
Visibility of decision-making process
Convergence Rate
Time to reach collaborative consensus
Cross-Agent Learning
% insights shared between agents
State Synchronization
Real-time update propagation speed
Conflict Resolution
% edit conflicts resolved automatically
Progressive Quality
Output improvement over iterations
💡 Top Use Cases
Collaborative Document Creation: Multiple writing agents (research, content, editing, review) working on shared document with real-time visibility
Software Architecture Design: Architecture, security, performance, and UX agents collaboratively designing system with shared blueprint
Strategic Planning: Market, financial, operational, and risk agents building comprehensive business strategy in shared workspace
Scientific Research: Literature, methodology, analysis, and peer review agents collaborating on research paper with transparent process
Product Development: User research, design, engineering, and QA agents iteratively building product requirements in shared specification
Legal Document Review: Subject matter, compliance, risk, and editorial agents collaborating on contract analysis with full visibility
Creative Brainstorming: Concept, narrative, visual, and technical agents building creative project with transparent ideation process
Educational Curriculum: Subject expert, pedagogy, assessment, and accessibility agents designing course with collaborative refinement
References & Further Reading
Deepen your understanding with these curated resources
Contribute to this collection
Know a great resource? Submit a pull request to add it.