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FLUJO
FLUJO logo

FLUJO

Active·★ 665·MIT·Updated 2026-10-22
★ Trending

FLUJO is an open-source, local-first platform designed for visually building and orchestrating private AI agents. It allows users to connect various AI models and applications, create agents as simple recipes or complex visual flows, and then interact with them, automate tasks, or integrate them into other software.

FLUJO sits in the Multi-Agent category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Local-first security with encrypted storage for API keys and configurable network access.. A representative use case is Developing custom AI assistants and chatbots for specific tasks or domains.. The listed license is MIT. GitHub stars are currently 665. Relevant tags include AI Agents, Visual Programming.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#AI Agents#Visual Programming#Workflow Automation#Multi-model#Debugging#Local-first#MCP-native#API Integration
$ Install
$ docker compose up --build
↗ Visit site★ GitHub
01

Features

01Local-first security with encrypted storage for API keys and configurable network access.
02Connect to multiple AI providers (OpenAI, Anthropic, Google Gemini, Ollama) with guided setup and reusable connections.
03Visual agent builder supporting simple recipe-like steps or expert drag-and-drop flows with branching, loops, and subflows.
04Live execution view with a visual debugger and automation triggers for scheduled or event-driven agent runs.
05Facilitates multi-agent collaboration through shared conversations ("Meetings") where agents can work on tasks together.
02

Why choose it

+Local-first security with encrypted storage for API keys and configurable network access.
+Connect to multiple AI providers (OpenAI, Anthropic, Google Gemini, Ollama) with guided setup and reusable connections.
+Developing custom AI assistants and chatbots for specific tasks or domains.
+Supports 6 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Node.js
Runtime
Verified via docs
Docker
Containerization
Verified via docs
Python
Dependency
Verified via docs
Windows
OS
Verified via docs
Linux
OS
Verified via docs
macOS
OS
Verified via docs
05

Quick start

1
$ docker compose up --build
06

Use cases

↳Developing custom AI assistants and chatbots for specific tasks or domains.
↳Automating repetitive tasks by integrating AI agents with external applications and data sources.
↳Orchestrating complex AI workflows that involve multiple models and conditional logic.
↳Creating autonomous systems like an AI-powered auto-responder for messaging platforms.
↳Enabling collaborative problem-solving among multiple AI agents within a shared conversational environment.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
mario-andreschak /
FLUJO
↗

Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents

665MIT
Last commit1d ago
StatusActive
CategoryMulti-Agent
Links
Documentation↗Discussion↗Issues↗Releases↗
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