A low-code visual builder for AI agents, chatflows, and multi-agent systems on a drag-and-drop canvas. It self-hosts locally through npm or Docker, or deploys to major clouds, and is provider-agnostic across many LLMs via its node ecosystem. The core is Apache-2.0; a managed Flowise Cloud tier exists, making it freemium.
Orchestration · FlowiseAI
Flowise
Visually build AI agents and LLM workflows — drag-and-drop, self-hosted.
Model support
Multi-model
- OpenAI
- Anthropic
- Ollama
- Hugging Face
Provider-agnostic via LangChain/LlamaIndex nodes; exact set depends on installed nodes.
Where it runs
- Web
- API
Tags
- #low-code
- #agents
- #self-hosted
- #open-source
- #workflows
Related in Orchestration
View LangChain details OrchestrationFREEOSSLangChain
LangChain
The default open-source framework for composing LLM apps.
Python + TypeScript framework for chaining prompts, tools, retrievers, and memory into LLM applications. Ubiquitous in the ecosystem; pairs with LangGraph for agent orchestration and LangSmith for tracing.
AI insight: The ecosystem's default on-ramp, anchoring a trio with LangGraph (agents) and LangSmith (tracing) — both also listed here.
- framework
- python
- typescript
- rag
- +1
View Dify details OrchestrationFREEMIUMDify
Dify (LangGenius)
Visual platform for agentic workflows, RAG pipelines, and LLM apps.
An LLMOps platform that bundles a drag-and-drop workflow builder, RAG pipelines, agent tooling, model management, and observability into one surface — prototype to production without much glue code. Connects hundreds of proprietary and open models across providers. Self-host the source-available edition for free, or use Dify Cloud's paid tiers.
AI insight: Bundles a workflow builder, RAG, and observability into one self-hostable platform — its license is source-available, not fully OSI.
- llm-ops
- workflow
- rag
- agents
- +1
View LlamaIndex details OrchestrationFREEMIUMOpen coreLlamaIndex
LlamaIndex
The data framework for LLM apps — RAG, agents, and document workflows.
An open-source framework (Python + TypeScript) for connecting LLMs to your data — ingestion, indexing, retrieval, and agentic document workflows. Pairs with the managed LlamaCloud (LlamaParse) for production parsing and extraction. The most-used RAG framework after LangChain.
AI insight: Retrieval-first where LangChain is orchestration-first — its LlamaParse service is the go-to for PDFs that defeat normal parsers.
- framework
- rag
- agents
- open-source
View CrewAI details OrchestrationFREEMIUMOpen coreCrewAI
crewAIInc
Multi-agent framework with explicit roles and tasks.
Python framework for orchestrating crews of specialised agents — researcher, writer, reviewer — coordinated through shared context. Opinionated about roles, sequencing, and delegation; good fit for content-and-research pipelines.
AI insight: Built standalone rather than on LangChain — it models work as a 'crew' of role-typed agents that delegate tasks to each other.
- multi-agent
- roles
- python
- open-source