Highlights • Evals • Auto-Optimize • RAG • Agents • Fine-Tuning • Synthetic Data • All Docs
Kiln is a workbench for the full AI development loop: evals, optimization, prompts, RAG, fine-tuning, synthetic data, agents, and tools - all working together. The desktop app lets your whole team contribute (PMs, subject-experts, and QA can rate outputs and add data without writing code). The MIT-licensed Python library ships the same tasks to production. Runs locally - bring your own API keys, or go fully offline with Ollama.
- 🖥️ Intuitive app - Easy-to-use apps for Mac, Windows, and Linux. One-click install.
- 📊 Eval Builder - Auto-generate evals (judge + synthetic eval dataset), and align to your preference in ~10 minutes.
- 🚀 Auto-Optimize - Automatically find the best way to run your AI task, optimizing prompt, model selection, tools, skills, subagents, parameters, and more.
- 💬 AI Assistant - Your AI data-science partner. Kiln Assistant proposes improvements, optimizes prompts, runs experiments, creates evals, and more.
- 🤝 Git-native collaboration - The app syncs to Git automatically — even for teammates who don't know what Git is.
- 🔍 RAG - Drag-and-drop docs (PDF, image, video, audio) to create a RAG. Auto-generated RAG evals from your own documents.
- 🤖 Subagents - Compose multi-agent hierarchies. Each runs in its own focused context window.
- 🪄 Synthetic Data Generation - Generate data for evals or fine-tuning in minutes.
- 🎛️ Fine-Tuning - Zero-code fine-tuning across 60+ models (Qwen, Llama, GPT, Gemini, …) on Fireworks, Together, and Vertex. Serverless deployment included.
- 🐍 Open Python library - Agents built in the app can be deployed to production. MIT open-source.
- 🧰 …and more - Tools & MCP, Skills, structured outputs, reasoning models, model library (190+ tested).