Flowise

Langflow lets developers assemble models, retrieval, vector databases, and multi-agent steps on a visual canvas, while retaining Python access for custom components. Flows can be tested interactively, exported as JSON, deployed behind an API, or served as MCP tools for other applications. A bundled desktop edition is available for Windows and macOS, alongside Python and Docker installations.

Dify combines visual AI workflows, model management, prompt testing, document-based RAG, agent tools, and operational logs in one application-development platform. Each application is exposed through APIs for integration with existing products. Teams can use Dify Cloud or self-host the Community Edition with Docker Compose; the repository uses the Dify Open Source License, based on Apache 2.0 with additional conditions.

Unsloth combines a web interface and a code-based package for downloading, running, training, and exporting text, audio, vision, and embedding models. It also supports dataset preparation, training monitoring, local inference endpoints, and formats such as GGUF and safetensors. Availability varies by hardware: some CPU setups are limited to chat and data workflows, while training support depends on the platform and accelerator.

AgentSkillsHub continuously collects Agent Skills, MCP servers, Codex skills, and other agent tools from GitHub. Its web directory and API provide search, filtering, quality scores, security grades, trending lists, rising projects, and related-project views. The classifications and scores are generated through scheduled synchronization, deduplication, enrichment, and multi-dimensional rule-based analysis.