AI development

4 reviewed tools

1. 1. Dify

   Dify lets teams visually build AI agents, workflows, and RAG pipelines with integrated models and tools. Deploy in the cloud or on your own infrastructure, publish apps or APIs, and monitor usage and performance.

   FreemiumDetails read from the tool's own site · 6 Nov 2026dify.ai

2. 2. Forefront

   Forefront helps developers fine-tune open-source models with private data, evaluate performance, and run inference through an API. It also stores datasets, supports model exports, and scales inference automatically with usage-based billing.

   FreemiumDetails read from the tool's own site · 6 Nov 2026www.forefront.ai

3. 3. Haystack

   Haystack is a modular, open-source framework for building LLM-powered agents and applications. It combines retrieval, reasoning, memory, and tool use in customizable pipelines, with integrations and observability for production deployment.

   Open sourceDetails read from the tool's own site · 6 Nov 2026haystack.deepset.ai

4. 4. Kiln

   Kiln combines AI evaluations, prompt optimization, fine-tuning, synthetic data, and agent tools in a desktop workbench. Teams can collaborate through git-synced datasets and deploy tasks with its MIT-licensed Python library.

   FreemiumDetails read from the tool's own site · 6 Nov 2026getkiln.ai