We got local models to triage the OpenClaw repo for FREE!*

We got local models to triage the OpenClaw repo for FREE!* We got local models to triage the OpenClaw repo for FREE!* Published June 22, 2026 Update on GitHub Upvote 22 Onur Solmaz osolmaz ben burtenshaw burtenshaw shaun smith evalstate *Free as in beer, excluding the cost of electricity, and assuming you already own the hardware June 2026 will go down as the moment that people realized closed models can be taken away. With the removal of Anthropic's latest flagship model Claude Fable 5 fresh in memory, one can see why it is more important than ever to own your AI stack and be able to run models locally, especially if you are building your business on top of AI.

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• We got local models to triage the OpenClaw repo for FREE!* Published June 22, 2026 Update on GitHub Upvote 22 Onur Solmaz osolmaz ben burtenshaw burtenshaw shaun smith evalstate *Free as in beer, excluding the cost of electricity, and assuming you already own the hardware June 2026 will go down as the moment that people realized closed models can be taken away.
• With the removal of Anthropic's latest flagship model Claude Fable 5 fresh in memory, one can see why it is more important than ever to own your AI stack and be able to run models locally, especially if you are building your business on top of AI.
• In that light, we wanted to share how we use local models like Gemma and Qwen in an agent harness, to run classification tasks [1] .
• This approach is different from using a model like BERT for classification.
• A local model in an agent harness like Pi can be used in tandem with structured outputs, to assign labels.
• We chose this approach because we already had local models and the harness on hand, and have conviction that similar setups will increase in popularity as local models improve in capability.