8 Best Langflow Alternatives in 2026 (Open Source)
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. Best visual builder for LLM workflows with direct MCP server deployment — more production-ready than Flowise with API-first architecture
Short answer
- Closest match to Langflow: Flowise.
- Most actively developed: n8n (3,694 commits in the last 90 days).
- Fastest growing: LangChain (+23,097 GitHub stars in the last 30 days).
- No commit in 6+ months: iX.
These 8 open-source tools do the same job. They are ordered by how closely they match Langflow, with live GitHub data so you can see which projects are actively maintained.
By package downloads LangChain is the most used here (169.4M in the last 30 days), even though n8n has the most GitHub stars. See all agent tools by downloads.
| Tool | GitHub stars | Stars / 30d | Last commit | Downloads / 30d |
|---|---|---|---|---|
| Langflow(original) | 155.5k | +1,446 | 2026-10-01 | 40.1K |
| Flowise | 55.5k | +686 | 2026-08-13 | — |
| iX | 1.0k | 0 | 2024-03-03 | — |
| Dify | 157.8k | +3,637 | 2026-10-03 | — |
| AutoGen | 61.2k | +782 | 2026-04-06 | — |
| n8n | 206.5k | +3,978 | 2026-10-03 | 384.9K |
| Haystack | 26.6k | +318 | 2026-10-02 | 539.6K |
| LangChain | 147.4k | +23,097 | 2026-10-02 | 169.4M |
| Agno | 42.5k | +560 | 2026-10-02 | 1.7M |
1. Flowise
Build AI Agents, Visually
What sets it apart: Easiest no-code AI agent builder with one-command setup (npx flowise start) — simpler than Langflow, targeting non-developers who want AI workflows without Python
Best for: Non-technical users building AI chatbots and RAG applications; Quick prototyping of LLM workflows with drag-and-drop
2. iX
Autonomous GPT-4 agent platform
What sets it apart: vs LangChain/AutoGen: visual no-code drag-and-drop editor with native multi-agent orchestration and horizontal worker scaling — design complex agent workflows visually instead of writing code
Best for: Building custom multi-agent teams with visual no-code editor; Rapid prototyping of AI workflows without coding; Organizations needing self-hosted parallel agent execution at scale
3. Dify
Production-ready platform for agentic workflow development.
What sets it apart: Unlike LangGraph (code-first orchestration), Dify offers a complete visual IDE combining workflow builder, RAG pipeline, prompt engineering, and production monitoring in one platform — the Vercel of LLM apps
Best for: Teams building RAG-powered chatbots and AI apps with visual workflow and no backend coding; Product teams who need LLMOps monitoring alongside app development in one platform
4. AutoGen
A programming framework for agentic AI
What sets it apart: Microsoft's layered multi-agent framework (Core/AgentChat/Extensions) with no-code Studio, .NET support, and MCP integration — most enterprise-backed open-source agent framework
Best for: Building multi-agent AI systems with complex orchestration; Teams prototyping agent workflows with no-code Studio; Cross-language (Python/.NET) agent applications
5. n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
What sets it apart: Unlike Zapier (pure no-code, closed-source), n8n combines visual workflow building with inline JavaScript/Python code and self-hosting, making it the go-to for technical teams who need both flexibility and control
Best for: Technical teams building AI-powered workflow automations with visual + code flexibility; Enterprises needing self-hosted automation with SSO and air-gapped deployment
6. Haystack
Open-source AI orchestration framework for modular RAG pipelines and agent workflows
What sets it apart: Context engineering-first design with explicit control over retrieval, routing, memory, and generation — vs LangChain which favors convention over configuration
Best for: Building production RAG systems with fine-grained control; Teams needing transparent, auditable AI pipelines
7. LangChain
The agent engineering platform
What sets it apart: vs other frameworks: Largest ecosystem with 100+ integrations, dual Python/JS support, backed by LangGraph for agent orchestration and LangSmith for production observability - the most widely adopted LLM framework
Best for: Building complex LLM applications with many integrations; Teams needing model interoperability and quick provider switching; Production AI applications requiring observability via LangSmith
8. Agno
Build, run, manage agentic software at scale.
What sets it apart: Production-first agent runtime with built-in session isolation, approval workflows, and scalable FastAPI serving — unlike LangChain which is framework-first
Best for: Production multi-agent systems with session isolation; Enterprise agentic applications needing approval workflows and audit trails
FAQ
- What are the best alternatives to Langflow?
- The closest open-source alternatives to Langflow are Flowise, iX and Dify, followed by AutoGen, n8n and Haystack. They are ranked by how closely they match what Langflow does.
- Which Langflow alternative is the most popular?
- n8n has the most GitHub stars among Langflow alternatives, with 206,548 stars.
- Which Langflow alternative is the most actively maintained?
- By recent activity, n8n (3,694 commits in the last 90 days) is the most actively developed alternative.
Maintain Langflow or one of these alternatives?
Each tool page has a maintainer box: a README badge with your live rank and stars, or a homepage feature for $49 / 7 days.