Show HN: Library for building synthetic agent environments [MIT]

Category: ai-ml

Tags: ai-development, evaluation, prompt-optimization, rag, fine-tuning, synthetic-data, agents, local-first

Score: 7.0/10 (Innovation: 6, Technical: 7, Documentation: 8, Utility: 7)

Kiln is an AI development workbench that integrates evals, prompt optimization, RAG, fine-tuning, synthetic data, and agent building into a single local-first tool. It offers a desktop app for team collaboration and an MIT-licensed Python library for production deployment, with a focus on iterative improvement and no vendor lock-in.

Target audience: AI/ML engineers, data scientists, and product teams building and deploying AI applications

Repository: https://kiln.tech/blog/introducing_seahaven · Python · NOASSERTION · 5216 stars

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