Discover top open-source software, updated regularly with real-world adoption signals.
One‑click desktop suite for building AI systems.
Kiln provides free, one‑click desktop apps to build, fine‑tune, evaluate, and deploy AI models with RAG, agents, and synthetic data, all while keeping data local.
Kiln targets product teams, data scientists, and subject‑matter experts who need to prototype AI solutions quickly. Its cross‑platform desktop apps (Windows, macOS, Linux) let users create datasets, run evaluations, and launch fine‑tuned models without writing code, while supporting over 100 model providers.
The platform bundles state‑of‑the‑art evaluators, zero‑code fine‑tuning (including Llama, GPT‑4o, etc.), Retrieval‑Augmented Generation, multi‑actor agents, and an interactive synthetic‑data generator. Collaboration is built‑in via Git‑style version control, enabling QA, PM, and non‑technical contributors to label, rate, and iterate on data. All processing runs locally, so Kiln never accesses your proprietary information, and you can bring your own API keys or use local Ollama models. Deployment is serverless and automated, turning a fine‑tuned model into an API endpoint with a single click.
When teams consider Kiln, these hosted platforms usually appear on the same shortlist.
ML hub with curated foundation models, pretrained algorithms, and solution templates you can deploy and fine-tune in SageMaker
Enterprise AI platform providing LLMs (Command, Aya) plus Embed/Rerank for retrieval
API-first platform to run, fine-tune, and deploy AI models without managing infrastructure
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Customer‑support chatbot with RAG
Integrate company knowledge bases into a conversational agent that answers queries using up‑to‑date documents.
Domain‑specific LLM fine‑tuning
Generate synthetic training data, fine‑tune a base model, and deploy it as a private API endpoint.
Model evaluation with LLM‑as‑Judge
Run automated quality assessments on model outputs and collect human ratings for continuous improvement.
Cross‑team dataset creation
Enable product managers, QA, and SMEs to label and rate data collaboratively, syncing changes via Git.
Kiln offers native desktop applications for Windows, macOS, and Linux.
All processing runs locally; Kiln never sends your data to external servers unless you explicitly use a cloud model API.
You only need API keys for the external model providers you choose; local models like Ollama work without any keys.
Yes, you can import any model compatible with the supported APIs via the Python library or custom configuration.
Currently Kiln is delivered as a free desktop application; there is no separate cloud‑hosted service.
Project at a glance
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