AI Infrastructure · GitHub ·4,810 ★

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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Details

Author
Kiln-AI
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
4,810
First indexed
2026-05-15
Last active
2026-05-12
Directory sync
2026-05-15
@Kiln-AIkiln.tech

Overview

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Quick start

git

git clone https://github.com/Kiln-AI/Kiln

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Kiln can do

aichain-of-thoughtcollaborationdataset-generationevals
  • Ai — ai task automation.
  • Chain Of Thought — chain-of-thought task automation.
  • Collaboration — collaboration task automation.
  • Dataset Generation — dataset-generation task automation.
  • Evals — evals task automation.

Frequently asked questions

What is Kiln?
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
How do I install Kiln?
Use git: `git clone https://github.com/Kiln-AI/Kiln`. Full setup details on the source page linked above.
Is Kiln open source?
Kiln is published on GitHub.
What are alternatives to Kiln?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Kiln is sourced from GitHub, published by Kiln-AI.

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