Use Case
Agent Orchestration
Coordinate multiple AI agents with consistent behavior and seamless context handoffs.
View Mirror AgentThe Challenge
What makes multi-agent orchestration hard.
Multiple AI agents with inconsistent behavior
Context lost between agent handoffs
No standardized way to coordinate agents
Unpredictable outputs from agent chains
How Thread Transfer Solves It
Unified Configuration
All agents share the same configuration system. One format, consistent behavior.
Context Handoffs
Structured protocols for passing context between agents without information loss.
Mode Switching
Agents can switch between Analyst, Creator, Critic, and Executor modes as needed.
Orchestration Patterns
Pre-built patterns for common multi-agent workflows like review chains and pipelines.
Expected Outcomes
Consistent behavior across all agents
Zero context loss in handoffs
Predictable multi-agent workflows
Reduced debugging time
Faster agent development