aldegad

aldegad / tenstorrent

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Tenstorrent console.tenstorrent.com skill for Claude Code / Codex / Agent SDK — Wan 2.2 text-to-video + OpenAI-compatible chat (DeepSeek-R1 / Qwen3-32B / Qwen3-VL)

14
4
69% credibility
Found May 19, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This is a configuration file that adds Tenstorrent's AI services to coding assistants like Claude Code or Codex. Once installed, these AI assistants can access text-to-video generation using Wan 2.2 technology and chat with advanced AI models like Qwen3 and DeepSeek-R1. The project includes setup instructions, example commands, and is licensed under MIT.

How It Works

1
🔍 Discovering the skill

You learn about a special add-on that gives your AI coding assistant new powers like creating videos and smarter chat.

2
📥 Downloading the setup file

You grab the SKILL.md file from this page and place it where your AI assistant can find it.

3
🔑 Connecting your account

You create a free account at Tenstorrent Console and connect it so your AI helper knows who you are.

4
✨ Your AI assistant gains new abilities

With everything connected, your coding assistant can now generate videos and chat with powerful AI models on your behalf.

5
Choose your adventure
💬
Smart conversations

Ask your assistant to talk with AI models that can reason through complex questions.

🎬
Create videos

Tell your assistant what kind of video you want, and it generates it for you.

🎉 Everything works together

Your AI coding assistant now has extra skills, helping you create content and solve problems faster than before.

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Star Growth

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AI-Generated Review

What is tenstorrent?

This is a skill file for AI coding assistants that unlocks access to Tenstorrent's cloud infrastructure. It provides two capabilities: text-to-video generation using Wan 2.2, and OpenAI-compatible chat endpoints for running models like DeepSeek-R1, Qwen3-32B, and Qwen3-VL. You drop the SKILL.md file into your agent's skills directory, export your API key, and you're ready to go.

Why is it gaining traction?

The hook is clear: you get access to alternative model providers through tools you already use. DeepSeek-R1 and Qwen3 models are gaining serious developer interest, and Tenstorrent offers them with an OpenAI-compatible API, so existing code using OpenAI clients works with minimal changes. The text-to-video integration fills a gap for developers wanting to experiment with generative video without building custom pipelines.

Who should use this?

Developers already using Claude Code, Codex, or Agent SDK who want to experiment with Tenstorrent's models. Teams exploring alternative LLM providers beyond the big three. Anyone building applications that need both chat and video generation through the same provider. If you're happy with OpenAI or Anthropic directly, this is probably unnecessary.

Verdict

This is functional but extremely nascent. With only 14 stars and a 0.7% credibility score, the ecosystem is basically just this README and a SKILL.md file. No tests, limited documentation, and no community to lean on if things break. The concept is solid—OpenAI-compatible APIs for alternative models—but this specific implementation is early. Worth watching if Tenstorrent's hardware and pricing become competitive, but not ready for production use without heavy vetting.

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