mario-andreschak/FLUJO

Build private AI agents visually. Run them your way.
**Connect your AIs and apps, build an agent, then talk to it, automate it, or call it from other software.**
**Simple + visual builders** · **MCP-native connections** · **Multi-model** · **Built-in debugger** · **Automation**
**Install FLUJO ↓** · **Explore features ↓** · **Watch the walkthrough →** · **Website →** · **Online demo →**
FLUJO is an open-source, local-first AI workspace. Save your model and app connections once, build reusable agents as plain-language steps or visual flows, and inspect what happens when they run. Combine models, tools and other agents; branch, loop and hand off work; use the same setup in chat, background automations and external applications.
Your workspace is stored on your computer. Cloud models and connected services receive the requests you send them. Privacy and workspace controls.
*Connect your AI, create an agent, then use it. Walkthrough screenshots show real FLUJO 3.46.2 screens; select an image to view it at full size.*
> FLUJO feels complicated, you're missing a feature, or you're stuck? Join Discord or open a GitHub issue. **We can only improve if we know what's wrong.**
AI Setup · Connected Apps · Agent Builder · Talk & debugging · Automations · Meetings · Personas · Integrations · Project vision
Quick install
The installers set up FLUJO and useful tool runtimes such as Git, Node.js, Python, uv and ripgrep. They download dependencies and need an internet connection.
**Windows installer:** Download the latest flujo-setup.exe.
**Windows PowerShell:**
**Linux / macOS:**
**Already have Node.js 22.19+ within 22.x, or 24.2+ within 24.x?** Run the published package:
Open localhost:4200 and keep the FLUJO server running. Some connected tools need additional runtimes or credentials. Shell installers follow the development branch by default; check the release notes for a Windows installer's version and channel.
All installation choices · Windows · Linux/macOS · npm · Docker · Build from source
Key features
AI Setup
- **Choose your provider:** OpenAI, Azure OpenAI, Anthropic, Google Gemini, X.ai, OpenRouter, supported subscription connections, or local models through Ollama.
- **Guided or expert setup:** use a gentle walkthrough, a faster guided path or the complete configuration form. Test the saved connection before using it.
- **Subscription and CLI options:** Claude Subscription uses the Claude Agent SDK; Codex and the bundled Antigravity CLI have their own login and host requirements. Provider access and allowance still apply.
- **Reuse and organize:** keep connections in folders, mark favorites and select different models for different AI steps.
- **Fallback policies:** try ordered backup connections for selected limits or outages, before output or tool activity begins.
Model connections and supported logins · Model settings · Fallback behavior
Connected Apps (MCP)
Give agents access to files, browsers, APIs and other services through the **Model Context Protocol**.
- **Connect your way:** curated apps, the MCP Registry, a remote URL, a GitHub repository or a local command. AI-assisted setup can help configure the connection.
- **More than tools:** browse tools, resources and reusable prompts; configure roots and opt-in model sampling where supported.
- **Inspect before attaching:** call tools and inspect resources from the connected server's detail view. A saved connection and a successful operation are separate checks.
- **Interactive MCP Apps:** compatible tools can return an interface inside chat. Enable Apps for the connection; support depends on the server's declared capabilities.
- **Reuse outside FLUJO:** explicitly expose a configured server through FLUJO's local MCP proxy for another compatible client.
GitHub setup and the tool inspector
Import a repository, install and build its server, configure its run command, then test and save the connection.
The tool inspector lets you browse and call a connected server's capabilities directly: