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Kiln
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
About Kiln
Kiln is a workbench for building, evaluating, and optimizing AI systems. The homepage describes tools for evals, prompt optimization, fine-tuning, synthetic data, retrieval-augmented generation (RAG), agents, and sub-agents. Evals can use LLM-as-Judge scoring and golden datasets, and human ratings can be added. Models can run in the cloud or locally.
Kiln is available as a free download for macOS, Windows, and Linux, with a web platform also listed. The Python library, which is MIT-licensed, lets users deploy Kiln tasks in their own code. The directory lists the project as not open source, so the library's license applies to that component only. The homepage does not state pricing beyond the free download, and no usage limits or geographic restrictions are given.
Key features
- Evals with LLM-as-Judge scoring for changes to AI systems
- AI Eval Builder that turns stated intent into evals
- Auto-optimization of prompts against evals
- Fine-tuning to distill systems into smaller models
- Synthetic data generation, filtering, and labeling
- Git Auto-Sync for datasets versioned in your repository
Best for: AI engineers, data scientists, and teams that build and evaluate AI systems, and product, QA, and subject matter experts who want to contribute feedback, ratings, and evals without coding.
Good for
- Free download with one-click install on macOS, Windows, and Linux
- Datasets can be versioned in a Git repository through Git Auto-Sync
- Open-source Python library under the MIT license for deploying tasks
Kiln at a glance
- Website
- kiln.tech
- Category
- AI & Machine Learning › AI Coding Tools
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Linux, macOS, Web, Windows
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Kiln FAQ
Can Kiln tasks be deployed outside the app?
The homepage says engineers can deploy Kiln tasks using the open-source Python library.
Where can models run in Kiln?
The homepage lists a "Run anywhere" option with cloud or local models.
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