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║ self-evolving AI, benchmarked · nodeq.tech ║
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Self-Evolving AI, Benchmarked for Trust.
As AI agents learn to improve themselves, progress needs proof. We build Harness Playground, where every result is pinned to three things: the harness and its version, the model, and the tests.
- Prove it got better. Run each version of your harness on the same model and tasks, in the open, so anyone can check whether it improved.
- Follow your harness over time. Upload your benchmark jobs. Each version gets its own row on a board, with a 95% interval, next to other harnesses. See the benchmarks.
- Evaluate harnesses for your domain. Not everything is coding. If you don't know how to build a harness for your field, or don't want to hand your work to a third party, we can set up a private site on your own tasks, with its own database and domain, and none of it public. Talk to us.
hbench, our open source engine, runs Claude Code, Codex, Gemini CLI and 40+ more.
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| Repository | What it is |
|---|---|
| hbench | The benchmark engine behind Harness Playground. Run coding agents on benchmark tasks from your terminal. |
| hbench-action | A GitHub Action for hbench. Find out which coding agent is best for your code, in CI. |
| hbench-action-example | An example repository: three tasks and the workflows that run coding agents on them. |
| hbench-datasets | Benchmark datasets for hbench, published as signed OCI artifacts. |
You need Docker, on Linux or macOS.
curl -fsSL https://nodeq.tech/install.sh | sh
export ANTHROPIC_API_KEY=sk-ant-...
hbench runThen upload the job folder to Your bench on nodeq.tech. It stays private until you publish it.
- nodeq.tech: Harness Playground
- Benchmarks
- Methodology
- Docs
- Enterprise and contact
- Report a bug or request a feature