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Feature Request
With the release of Apache RocketMQ 5.5.0, the new LiteTopic model provides native support for AI Agent communication scenarios, addressing three critical requirements:
- Massive Session Channels: Supports 1M+ lightweight topics coexisting
- State Persistence: Broker-side offset storage for session recovery
- Event-Driven Scheduling: Ready Set mechanism reduces ineffective scanning by pre-filtering idle topics, cutting CPU overhead by 30%.
This integration will enable our multi-agent system to handle asynchronous task distribution and result collection efficiently.
Expected Outcomes:
☑ 50% reduction in Agent communication latency
☑ 100% session recovery after node failures
☑ 10x throughput improvement for 100K+ concurrent topics
☑ Native compatibility with MCP/ADK protocols
Are you willing to submit PR?
Code of Conduct
Search before asking
Feature Request
With the release of Apache RocketMQ 5.5.0, the new LiteTopic model provides native support for AI Agent communication scenarios, addressing three critical requirements:
This integration will enable our multi-agent system to handle asynchronous task distribution and result collection efficiently.
Expected Outcomes:
☑ 50% reduction in Agent communication latency
☑ 100% session recovery after node failures
☑ 10x throughput improvement for 100K+ concurrent topics
☑ Native compatibility with MCP/ADK protocols
Are you willing to submit PR?
Code of Conduct