Case study / Jan.2025 / R&D / Client: Irys
AI Agent Framework
I built Iryna as a solo R&D project to align agent infrastructure with my vision: decentralized by design, traceable by default, and practical for swarm-style collaboration. Before this project, most frameworks I used were effective for a single agent but not well designed for direct inter-agent communication and data transfer. I implemented the framework around two priorities: clearer inter-agent orchestration and end-to-end workflow traceability persisted on Irys. I also produced technical documentation and a paper describing architecture choices and trade-offs. The project was later closed after AI-agent market momentum weakened. Key learning: running a large solo build is possible, but orchestration complexity must be managed early. If I restarted it, I would ship step-by-step from a narrower MVP and add features incrementally.
01 / Brief
Solution
I built Iryna as a solo R&D project to align agent infrastructure with my vision: decentralized by design, traceable by default, and practical for swarm-style collaboration. Before this project, most frameworks I used were effective for a single agent but not well designed for direct inter-agent communication and data transfer. I implemented the framework around two priorities: clearer inter-agent orchestration and end-to-end workflow traceability persisted on Irys. I also produced technical documentation and a paper describing architecture choices and trade-offs. The project was later closed after AI-agent market momentum weakened. Key learning: running a large solo build is possible, but orchestration complexity must be managed early. If I restarted it, I would ship step-by-step from a narrower MVP and add features incrementally.
02 / Constraints
Problem
- Designing reliable inter-agent orchestration for decentralized swarms
- Keeping traceability strong without overcomplicating developer workflows
- Managing product direction as market momentum slowed
03 / System
Architecture / workflow
- Decentralized traceability on Irys across agent workflows
- Inter-agent orchestration designed for swarm coordination
- Technical documentation and paper on architecture trade-offs
04 / Evidence
Results / impact
- Higher traceability across agent actions and workflow states
- Clearer swarm collaboration model for AI-agent developers
- Complete R&D deliverables published as docs, paper, and screenshots
05 / Gallery