What’s the hardest part of building reliable AI agents for you? 🤔

We built @GraphBit because most agent frameworks felt great for demos, but started breaking down in production. Either they consumed too many resources, lacked reliability across multi-step workflows, or made observability a nightmare.

GraphBit flips that script:

⚡ Rust core → blazing speed, async concurrency, and safety

🐍 Python interface → developer-friendly, simple to learn

🔍 Enterprise-first features → real-time observability, crash resilience, multi-LLM orchestration

We’re curious:

👉 What’s been your biggest pain point when moving from prototype → production with AI agents?

👉 Do you struggle more with scaling, debugging, or workflow reliability?

👉 If you could pick just one “must-have” feature in an AI agent framework, what would it be?

We’d love to hear your thoughts, stories, and wishlist items. Your input will help us make GraphBit even more developer-first and production-ready! 🚀

— Team GraphBit