Head-to-head · LLM Application Development Frameworks
LangGraph vs Flowise
LangGraph leads on 0 checks, Flowise on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreLangGraph · 9.2/10
- Free planboth
LangGraph scores higher on our rubric for llm application development frameworks: 9.2 against 8.6 out of 10; our editors rank them #2 and #8.
LangGraph is the better fit for developers building durable, stateful agent workflows. Flowise is the better fit for reviewing or maintaining existing Flowise projects.
- LangGraph fits best
Developers building durable, stateful agent workflows
- Flowise fits best
Reviewing or maintaining existing Flowise projects
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Side by side
| Feature | LangGraph 9.2/10 Visit ↗ | Flowise 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.6 |
| Ranking | #2 in LLM Application Development Frameworks | #8 in LLM Application Development Frameworks |
| Best for | Developers building durable, stateful agent workflows | Reviewing or maintaining existing Flowise projects |
| Pricing model | Free | Free plan + paid |
| Starting price | Not published | $35/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Self-hosted, Cloud | Cloud, Self-hosted |
| Integrations | 2 integrations | 6 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features LangGraph 0/5 · Flowise 0/5 | ||
| RAG support | Not published | Not published |
| Agent and tool use | Not published | Not published |
| Workflow graphs | Not published | Not published |
| Prompt optimization | Not published | Not published |
| JavaScript/TypeScript SDK | Not published | Not published |
| Specs | ||
| Primary language | Not published | Not published |
| Open-source license | Not published | Not published |
| Our review | ||
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| Cons |
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| Our verdict | LangGraph is an open-source framework and runtime for developers building long-running, stateful agents and workflows. Its graph model combines deterministic code with model-driven steps, and supports single-agent, multi-agent, and… Read the review → |
Flowise was an open-source framework for building AI agents, chatbots, and LLM workflows with visual tools. Its Assistant, Chatflow, and Agentflow builders were aimed at developers and teams who wanted to assemble workflows visually while… Read the review → |
Strengths and trade-offs
LangGraph — where it wins
- Combines deterministic code and LLM-driven steps in graph workflows
- Supports durable execution, checkpointing, and resumption after failures
- Offers memory, streaming, and human review of agent state
Where it doesn't
- Low-level control requires developers to define workflow behavior
- Does not prescribe a high-level agent architecture
- Verified integrations are narrower than LangChain’s
Flowise — where it wins
- Visual builders cover assistants, chatflows, and agentflows
- Supports retrieval, coordinated agents, approvals, and execution traces
- Offers APIs, SDKs, CLI, and embedded chat
Where it doesn't
- Feature development ceased and the repository was archived in 2026
- Official core-team operations ended on August 31, 2026
- Integration descriptions name broad categories rather than specific products
- LangGraph9.2/10 · Free plan
Graph-based control for developers who need durable, stateful agent workflows.
Visit LangGraphFull verdict → - Flowise8.6/10 · Free plan · paid from $35/mo
A visual agent-building framework whose development and official operations have ended.
Explore FlowiseFull verdict →
More comparisons
- LangChain vs LangGraph
- LangGraph vs Microsoft Agent Framework
- LangGraph vs Spring AI
- LangGraph vs Haystack
- LangGraph vs Apache Burr
- LangGraph vs Langflow
- Spring AI vs Flowise
- Apache Burr vs Flowise
All LLM application development frameworks comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update



