Langflow alternatives (2026)
Langflow is a no-code builders tool: Visual drag-and-drop builder for AI agents and workflows that you can run locally, deploy as an API or expose as an MCP server. Pricing, as the maker states it: Open source + cloud. Its GitHub repo has 155,757 stars. We found 30 tools in the directory that do overlapping work (writing code, automating workflows, building voice agents); 11 of them are open source and 7 list a free or freemium plan. Below are the 10 closest, ranked by how many tasks and sub-tasks they share with Langflow, then by GitHub stars.
- Activepieces (Open source + cloud): Open-source automation platform with AI agents and hundreds of pieces usable as MCP servers. Consider it because it does the same job with a different approach (open source + cloud).
- FastGPT (Source-available + cloud): AI agent building platform with knowledge-base RAG, data processing and a visual workflow editor for deploying question-answering and automation apps. Consider it because it is ready to use without building anything; it also covers RAG and documents and IDE and editor agents.
- Sim Studio (Open source + cloud): Workspace for visually building, deploying and monitoring AI agents and workflows. Consider it because it also covers tracing and observability.
- PySpur (Open source): Visual playground for building and iterating on agent workflows. Consider it because it does the same job with a different approach (open source).
- Giselle (Open source + cloud): Open-source AI agent studio for building agentic workflows with a visual builder. Consider it because it does the same job with a different approach (open source + cloud).
- BuildShip (See site): Visual AI workflow builder for automating backends, building tools for AI agents and spinning up APIs. Consider it because it is ready to use without building anything.
- Make (Freemium): Visual automation platform with AI agents. Consider it because it is ready to use without building anything.
- Baserow (Open source + cloud): No-code platform for databases, apps, automations and AI agents, an Airtable alternative available as cloud or self-hosted. Consider it because it is ready to use without building anything; it also covers SQL and databases.
- Dify (Source-available + cloud): Open-source platform for building LLM apps and agents visually. Consider it because it is ready to use without building anything; it has more GitHub stars (158,410 vs 155,757). Langflow vs Dify →
- Botpress (Open source + cloud): Platform for building and deploying LLM-powered chatbots and agents, with a visual studio, integrations hub, CLI and SDK. Consider it because it also covers agent frameworks and SDKs and terminal and CLI agents.
Langflow vs alternatives at a glance
| Tool | Pricing | Open source / licence | GitHub stars | Good for |
|---|---|---|---|---|
| Langflow | Open source + cloud | MIT | 155,757 | writing code, automating workflows |
| Activepieces | Open source + cloud | MIT (Expat), except the packages/ee directories (commercial licence) | 25,073 | writing code, automating workflows |
| FastGPT | Source-available + cloud | No | 29,851 | writing code, automating workflows |
| Sim Studio | Open source + cloud | Apache License 2.0 | 29,835 | writing code, automating workflows |
| PySpur | Open source | Apache License 2.0 | 5,793 | writing code, automating workflows |
| Giselle | Open source + cloud | Yes | 558 | writing code, automating workflows |
| BuildShip | See site | No | — | writing code, automating workflows |
| Make | Freemium | No | — | writing code, automating workflows |
| Baserow | Open source + cloud | Yes | 6,170 | writing code, automating workflows |
| Dify | Source-available + cloud | Modified Apache License 2.0 with additional conditions | 158,410 | writing code, automating workflows |
| Botpress | Open source + cloud | Yes | 14,956 | writing code, coding in the terminal |
Written comparisons: Dify vs Langflow
More: Langflow listing · All no-code builders tools · All alternatives pages
Related searches: Free no-code AI agent builders
Alternatives are picked from directory data only: same category plus shared tasks and sub-tasks. Pricing is as each maker states it; GitHub stars as recorded on each listing.