GH Repository · Kiln-AI
Kiln
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
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makeevalevaluationevalsPythonrlhfaichain-of-thoughtcollaborationmacoswindowsmlprompt-engineeringfine-tuningollamamcpevaluation-frameworkmachine-learningpythonsynthetic-datadataset-generationopenaipython/uvprompt
Kiln is a Python toolchain for building, evaluating, and optimizing AI systems, covering evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, and MCP. It runs on macOS and Windows and works with providers and models such as OpenAI and Ollama.
Reach for it when you want one Python tool that ties together evaluation, dataset generation, and fine-tuning workflows for AI systems.
Use it to
- Run structured evals on prompts and models
- Generate synthetic datasets for training
- Manage datasets for fine-tuning
- Build agents with MCP support
- Collaborate on prompt engineering
For ML engineers and teams evaluating and fine-tuning AI systems
- Role
- eval
- Language
- Python
- Licence
- custom (licence file present)
- Forks
- 380
- Open issues
- 24
- Last push
- 2026-09-17
- Latest release
- 0.1.0-alpha · 2024-10-25
topicsevalsfine-tuningsynthetic-datadataset-managementmcpprompt-engineering