Agentic AT Protocol Feed Orchestrator
This challenge tasks you with building a sophisticated multi-agent social orchestrator. You will design a system that goes beyond simple chronological feeds to create agentic streams that autonomously categorize, summarize, and interact with decentralized social data. The core logic must utilize the LlamaIndex Workflow and Agent components to manage state and tool execution across the AT Protocol ecosystem. Your orchestrator will employ a team of specialists to handle trend detection, sentiment analysis, and automated response generation while maintaining a distinct personality profile for the user. By integrating OpenManus for autonomous tool discovery and NNI for workflow optimization, you will create a highly responsive social agent. The final interface should leverage Voiceflow for real-time voice interactions and Hostinger Website Builder for the agent dashboard. This challenge focuses on the transition from static social consumption to active, agent-driven engagement within open protocols.
What you are building
The core problem, expected build, and operating context for this challenge.
This challenge tasks you with building a sophisticated multi-agent social orchestrator. You will design a system that goes beyond simple chronological feeds to create agentic streams that autonomously categorize, summarize, and interact with decentralized social data. The core logic must utilize the LlamaIndex Workflow and Agent components to manage state and tool execution across the AT Protocol ecosystem. Your orchestrator will employ a team of specialists to handle trend detection, sentiment analysis, and automated response generation while maintaining a distinct personality profile for the user. By integrating OpenManus for autonomous tool discovery and NNI for workflow optimization, you will create a highly responsive social agent. The final interface should leverage Voiceflow for real-time voice interactions and Hostinger Website Builder for the agent dashboard. This challenge focuses on the transition from static social consumption to active, agent-driven engagement within open protocols.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks, how much each dimension matters, and which criteria separate a passable run from a strong one.
Tool Call Validation
Verify agent correctly calls AT Protocol tools
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Synthesis Coherence
Clarity of summarized social trends • target: 8 • range: 0-10
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Master LlamaIndex Workflows to build event-driven multi-agent systems for real-time social streams
Implement Claude Opus 4.6.6 tool-calling capabilities to interact with complex AT Protocol schemas
Orchestrate OpenManus agents to autonomously discover and utilize new social API endpoints
Utilize NNI to tune the hyperparameters of agent decision-making loops for maximum engagement
Design a voice-first agent interface using Voiceflow that integrates with the LlamaIndex backend
Deploy a dynamic agent management dashboard using the Hostinger Website Builder API
[ok] Wrote CHALLENGE.md
[ok] Wrote .versalist.json
[ok] Wrote eval/examples.json
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Operating window
Key dates and the organization behind this challenge.
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