AI Agent Developer | Multi-Agent Systems | Production-Grade Automation
🔭 Currently working on OpenClaw Agent automation systems - building autonomous, self-improving AI agents
🌱 Deep diving into multi-node agent orchestration and human-in-the-loop systems
💬 Ask me about: Agent frameworks, HITL (Human-in-the-Loop), context handoff, event loops
🤝 Open to collaborating on: Agent frameworks, automation tools, production-ready AI systems
Core: Python | AI/ML | LLM Orchestration
Agent Systems: Multi-Agent Coordination | Context Management | State Machines
Production: HITL Systems | Error Handling | Observability | Cost Optimization
Tools: LangChain | LangGraph | OpenAI | Anthropic | HuggingFace
- Multi-node pipelines - Context handoff between distributed agent nodes
- Human-in-the-loop workflows - Approval gates, timeout handling, escalation policies
- Event-driven agents - Think → Act → Judge → Repeat loops with tool use
- Goal-driven systems - Declarative goals with weighted success criteria and constraints
- Failure handling - Graceful degradation, error recovery, production observability
- 🐝 adenhq/hive - Contributing to YC-backed AI agent framework
- Contract Evaluation Agent Template (#4328)
- Framework capability showcase examples (#4365)
"The gap between 'framework features exist' and 'users know how to use them' is where I focus."
I believe production-ready AI agents need:
- ✅ Clear failure modes and recovery strategies
- ✅ Transparent human oversight without bottlenecks
- ✅ Observable decision-making processes
- ✅ Cost-aware execution with graceful degradation
- 💼 Open to freelance projects in AI automation and agent systems
- 🐦 Twitter: @Lumi_artLife (coming soon)
- 📧 Email: Available upon request
Building the future of autonomous AI systems, one agent at a time.