# The open-source Langflow alternative you run and own

> If you are looking past Langflow’s workflow canvas for a system you can run and own, Kortix is the open-source AI Operating System. Your agents, their skills, your company memory, and every connector live in one git repo you own.

URL: https://langflowalternative.com/open-source-langflow-alternative

_Compare_

## Kortix, Langflow, LangGraph, and Flowise compared

Four open-source options for AI work, compared on what each one is for and what a team owns, from each project's own repository.

| | Kortix (recommended) | Langflow | LangGraph | Flowise |
| --- | --- | --- | --- | --- |
| Open source | Yes. Read it, fork it, audit it. | Yes | Yes | Yes |
| What it is | An AI Operating System you run and own | A visual builder for AI agents and workflows | A code-first library for stateful agents | A visual builder for AI agents |
| How you build | Markdown, a git repo, and `kortix.yaml` | Nodes on a canvas, plus Python | Python and TypeScript code | Nodes on a canvas |
| What it runs | Agent sessions on their own cloud computers | Flows you run or serve as an API or MCP server | Long-running, stateful agent workflows | Flows you run or serve through an API |
| Memory and connectors | In the same repo you own | Retrieval and tools wired per flow | Memory and tools through the graph and LangChain | Knowledge retrieval and tool nodes |
| Where it runs | Kortix Cloud, your VPC, or on-prem; self-host free | A Python package, Docker, or Langflow's cloud | A Python or JavaScript library you host | Docker, npm, or Flowise's cloud |
| Maintained | Actively developed | Actively developed | Actively developed | Repository archived; project reached end of life |
| Pick it for | A team that wants to run and own the system | Prototyping and shipping one AI workflow fast | Code-first control over long-running agent state | A team already running the archived build |

## Why teams look past a workflow canvas

A workflow canvas is a good place to start. You drag nodes, wire a model to a data source, and watch a run. Langflow does that well: its repository describes a visual builder, Python access to every component, and deployment as an API or an MCP server ([langflow-ai/langflow](https://github.com/langflow-ai/langflow)). The canvas holds the flow. The company around the flow stays yours to assemble: the agents, the memory they keep, the connectors they call, and the person who approves a change.

The other options work on the flow itself. LangGraph is a code-first library for long-running, stateful agents ([langchain-ai/langgraph](https://github.com/langchain-ai/langgraph)). Flowise is a visual builder whose repository was archived in 2026 ([FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise)). All of them are open source and self-hostable. Kortix takes the whole-system approach, keeping the agents, their memory, and the connectors in a single repo the team owns and running the work on real cloud computers.

## What "open source" means for Kortix

Kortix is the open-source AI Operating System: your agents, their skills, your company memory, and every connector in one git repo you own, with the agents working on real cloud computers.

Open source here is a working property. Read it, fork it, audit it. You host it your way: run it on Kortix Cloud, in your VPC, or on your own on-prem network, and self-host is free. The project is developed in the open. Its repository holds 20,000+ GitHub stars, checked October 2026 ([Kortix on GitHub](https://github.com/kortix-ai/suna)).

## What you run and own instead

The repo is the difference. `kortix.yaml` declares the machine image, connectors and triggers, and secret names and grants. Agents and skills are markdown. Memory is the living company brain, in plain files today.

```yaml
# kortix.yaml
agents:
  support-triage:
    file: agents/support-triage.md
    connectors: all
triggers:
  - slug: daily-digest
    type: cron
```

The work runs on real machines. One isolated sandbox per session. Each session has its own isolated machine and branch. Session work reaches `main` through a change request. Merge is default-deny for agents, so a person reviews the diff before it lands. Thousands of agents in parallel on one config, each on its own cloud computer.

Connectors and models complete the picture. Kortix reaches 3,000+ apps in a click, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP, and connector credentials are brokered server-side and never enter the machine. Any model provider with your own keys. Or the ChatGPT plan you already pay for. Or sign in with your OpenCode Console account for OpenCode Zen and Go.

_FAQ_

## Questions about running and owning an open-source Langflow alternative

### What can I run and own instead of Langflow?

Kortix, the open-source AI Operating System: your agents, their skills, your company memory, and every connector in one git repo you own. Run it on Kortix Cloud, in your VPC, or on your own on-prem network. Self-host is free.

### Is Kortix open source?

Yes. Read it, fork it, audit it. Self-host is free. The code is developed in the open.

### Is Flowise still maintained?

No. Flowise announced it would wind down in July 2026, moved its repository to public archive in August 2026, and reached end of life on August 31, 2026. The code stays on GitHub for anyone to fork ([FlowiseAI/Flowise discussion](https://github.com/FlowiseAI/Flowise/discussions/6727)).

### Can I bring my own model keys?

Yes. Any model provider with your own keys. Or the ChatGPT plan you already pay for. Or sign in with your OpenCode Console account for OpenCode Zen and Go.

## Run and own the whole system.

Point one agent at real work on its own cloud computer, or self-host the stack for free.

[Try Kortix](https://kortix.com) · [Read the docs](https://kortix.com/docs)