Best Dify Alternatives in 2026

Langflow is an open-source visual builder for LLM pipelines, RAG applications, and multi-agent workflows. Created in 2023 and acquired by DataStax in 2024, it lets developers assemble complex AI flows on a canvas and export them as production APIs, no boilerplate required.

Flowise is an open-source, drag-and-drop builder for LLM workflows and AI agents. Self-host it free under Apache 2.0 or use the managed cloud. 52,000+ GitHub stars, acquired by Workday in August 2025.

Genkit is Google's open-source AI framework for TypeScript, Go, and Python developers. It provides typed flows, RAG, tool calling, and multi-agent support with a standout local Developer UI for iterating prompts and debugging traces. Free under Apache 2.0.

RAGFlow is InfiniFlow's open-source enterprise RAG engine, built around a neural document parser (DeepDoc) that handles complex PDFs, tables, and mixed-layout documents. Self-hostable, Apache 2.0, with 79k+ GitHub stars.

Agno is an open-source Python framework for building multi-agent AI systems, rebranded from Phidata in January 2025. Model-agnostic, Apache 2.0, with built-in memory, knowledge bases, and a production-ready AgentOS runtime for deploying agents as services.

LlamaIndex is an open-source data framework for building RAG applications over private data, developed by LlamaIndex, Inc. It includes 300+ data connectors, built-in hierarchical chunking, and LlamaParse for enterprise-grade document parsing. Free OSS core; LlamaCloud starts at $50/mo.

Mastra is an open-source TypeScript framework for building production AI agents, from the team behind Gatsby. It ships agents, durable workflows, RAG, built-in memory with SOTA LongMemEval scores, and a visual debugging studio.

Haystack is deepset's open-source Python framework for building production-ready RAG pipelines and AI agents. Apache 2.0 licensed, it gives developers explicit control over retrieval, context routing, and generation through composable, YAML-serializable pipeline graphs.

Databutton is an AI-powered app builder from Oslo that generates Python FastAPI backends and React frontends from plain-language descriptions, then deploys them to managed cloud hosting in one click. Built for non-technical founders and data teams building internal tools and data-heavy SaaS applications.

PydanticAI is an open-source Python framework for building production-grade AI agents. Created by Samuel Colvin (creator of Pydantic), it brings FastAPI-style type safety, structured outputs, and dependency injection to agent development. Free, MIT-licensed, 16k+ GitHub stars.