mitchwainer

OpenHands just announced a collaboration with AMD that lets developers run full coding agents locally on new Ryzen AI hardware — no cloud APIs, no data leaving the machine, and zero per-token cost.

The setup uses AMD’s open-source Lemonade stack + Ryzen AI Max series (CPU + GPU + NPU with 126 TOPS) to run models like Qwen3-Coder-30B directly on-device. You can point OpenHands to a local Lemonade endpoint and get full autonomous agent workflows running offline.

Why it’s interesting:

Local inference for real coding agents (not just autocomplete)

Privacy/compliance: IP never leaves your workstation

Cost: no usage-based billing

Performance: NPU/GPU optimized, low latency

Open source stack end-to-end

Given how fast local LLM tooling is evolving (Apple, NVIDIA, AMD, etc.), this feels like an inflection point: true autonomous dev-agents running locally, not in the cloud.

Curious to hear from others:

Who else is running agentic workloads entirely locally?

Is this the beginning of serious local-first dev tooling?

How big will “offline AI” get as hardware accelerates?

OpenHands raised $18.8M in a Series A led by Madrona to build the open, secure, and model-agnostic platform for cloud coding agents. OpenHands is collaborating with AMD to make local agents even better. OpenHands is delivering powerful coding agents for every developer, for free, forever.

Grafbase just launched Nexus, an open-source AI Router that unifies MCP servers and LLMs through a single endpoint. Designed for enterprise-grade governance, control, and observability, Nexus helps teams manage AI complexity, enforce policies, and monitor performance across their entire stack. Built to work with any MCP server or LLM provider out-of-the-box, Nexus is designed for developers who want to integrate AI with the same rigor as production APIs.