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Kiln

Free

Intuitive app to build your own AI models. Includes no-code synthetic data generation, fine-tuning, dataset collaboration, and more.

FreeFree tier
Type
Open Source
Visit Website GitHub (40 stars)

About Kiln

Kiln is an open-source AI workbench for teams that provides an all-in-one platform for building, evaluating, and optimizing AI systems. It includes no-code synthetic data generation, fine-tuning, LLM-as-Judge evals, auto-optimization, RAG, agents, MCP tools, and collaboration via git. The desktop app (source-available) and MIT-licensed Python library support over 190 models, running locally or in the cloud. An AI assistant helps guide experiments and optimization. Designed for engineers, data scientists, and subject matter experts, Kiln ensures that changes are observable, comparisons are honest, and iteration stays fast as teams grow.

Key Features

RAG: index, chunk, retrieve documents
Skills: reusable capabilities
Tools: compose MCP tools and sub-agents
Structured output (JSON) and reasoning
LLM-as-Judge evals with AI Eval Builder
Golden datasets and human ratings
Auto-Optimize: auto-tune prompts to evals
Fine-tuning: distill into smaller models
Synthetic data: generate, filter, label
AI Assistant: chat to create experiments and optimize

Pros & Cons

Pros
  • Open-source with MIT-licensed Python library and source-available desktop app
  • Comprehensive all-in-one platform covering the full AI development loop
  • Data privacy: datasets and evals stay on local machine, synced via git
  • Supports a wide range of models (190+) including local and cloud
  • Free for individuals with generous features
  • Built for collaboration with git integration and team feedback
  • AI Assistant helps streamline experiments and optimization
Cons
  • Advanced features like higher AI Assistant limits and auto-optimizer require Pro or Team subscription
  • Desktop app is source-available but not fully open source (Python library is fully open)
  • Community support only for free tier; priority support requires paid plan
  • Some users may prefer fully cloud-hosted solution over local-first approach

Best For

Engineers: deploy AI with the open-source Python libraryData scientists: quickly experiment with models and replace vague specs with evalsPMs, QA, and subject matter experts: contribute to AI quality without coding via feedback, ratings, and data generationTeams building and shipping AI products that need robust evaluation and iteration

FAQ

What is Kiln AI?
Kiln is an open-source AI workbench for teams that provides tools for building, evaluating, and optimizing AI systems. It includes synthetic data generation, fine-tuning, evals, RAG, agents, and collaboration features, supporting over 190 models.
Is Kiln free to use?
Yes, the Individual tier is free and includes the open-source Python library and desktop app. Kiln Pro with advanced features is available for teams and enterprises.
Can I run Kiln locally?
Yes, Kiln runs locally on macOS, Windows, or Linux. Datasets and evals stay on your machine and sync through a git repo you control. Your data is not hosted by Kiln unless you opt into Kiln Pro features.
What models does Kiln support?
Kiln supports over 190 models, including cloud and local models. You can browse the model library in the app and test each model's capabilities.