Self-Hosted AI Workflow Automation

Shinkai lets people build AI agents to automate tasks without writing code. Its desktop app can run agents entirely offline with local models, including workflows that handle sensitive data.

Windmill lets developers build internal apps, data pipelines and AI automation around ordinary scripts. Teams can share that code through browser interfaces and run it on infrastructure they control.

VoltAgent is a TypeScript AI agent framework for developers building assistants and automated workflows with local models through Ollama. Its VoltOps console can be self-hosted or used as a cloud service. Model execution depends on the provider: Ollama supports local inference, while OpenAI, Anthropic and Google connections send requests to those remote services.

Agent Pilot is a desktop AI workflow builder for people who want to combine model conversations with tools and code. It runs on Windows, Linux and Intel Macs and is open source under AGPL-3.0. You can chat with one model or build a graph of cooperating agents, with human input included where a task needs it.

Dify is a visual builder for teams creating AI agents and applications that use their own data and tools. Its canvas makes application logic visible so teams can inspect and test how a task proceeds.

Weft is a language and framework for developers who want to run AI workflow orchestration on their own machine. Its runtime requires Docker, and its graph editor works in VS Code and compatible forks. Self-hosting the workflow doesn't make its model calls local: the included WhatsApp support bot uses OpenRouter for inference.

Cezar manages AI coding agents on your computer or your own server. It's for developers coordinating work across repositories who want to review tasks, agent activity and code changes in one browser interface.

Taskyon is a browser-based AI workspace for people investigating technical problems and developing engineering designs. It keeps the work in a task tree so related questions, evidence and decisions stay connected.

KanDev is a self-hosted workspace for developers managing AI coding tasks and reviewing the resulting changes. It organizes work on kanban boards and lets you define workflows with your own agent choices and review gates.

DB-GPT is a self-hosted AI data assistant for teams analyzing business data and developers building data applications. It connects plain-language questions to database queries and code-based analysis.

AgentRQ lets people assign work to AI agents, follow their progress and answer requests for decisions from a browser, phone or desktop app. Agents run on computers you own; the task dashboard can run on your server or the hosted service.

OpenBrowser is a self-hosted browser automation agent for people who need visual judgment and interaction across web pages. Its server and Chrome extension run locally, but the documented Qwen setup sends model requests to DashScope's cloud API and requires an API key and internet access. Browser execution stays local; model processing uses the remote provider.

Roboflow Inference runs computer vision models on images and camera feeds for teams building inspection, monitoring and image analysis systems. You can host it on your own computer, server or edge device.

RAGFlow helps teams build AI agents that answer questions using their own documents. It extracts content from complex files and retrieves supporting material that readers can check.

Skyvern automates browser tasks for teams handling forms, vendor portals and repeated data collection. It uses vision models to identify page elements, helping workflows adapt when website layouts change.

Activepieces is a self-hosted automation platform for teams that want AI agents and app workflows on their own servers. It runs with Docker or Kubernetes, alongside a managed cloud offering. Self-hosting controls where the app runs; connections to Anthropic, OpenAI, AWS Bedrock or Google Gemini still send model requests to those providers using your credentials.

OpenAgent is a personal AI assistant for people and teams who want agents to work with their documents and carry out tasks on their own computer or server.

JamAI Base is an AI backend for developers building chatbots and applications that use their own documents and structured data. Its spreadsheet-like interface brings prompts, generated data and LLM workflows into tables.

Vibe Workflow is a visual AI workflow builder for creators and developers who want repeatable image and video pipelines on their own server. Its editor is self-hostable, but the included generation features use MuAPI and require an account, API key, and internet access.

ComfyUI is a visual AI workflow editor for creators who want control over generation and editing. Its node canvas lets you connect models and processing steps, inspect their settings and reuse the resulting workflows without writing code.

Hive coordinates AI agents for teams processing batches of leads, tickets, repositories or documents. A persistent lead agent, called a queen, develops a method on one item before assigning parallel workers, with human approval before the group starts.

SnapOtter is a self-hosted application for people and teams who need to edit or convert private files without uploading them to an online processing service. It combines media, document and local AI tools in a browser interface.

Tinybot is a desktop AI agent for people who want an assistant to work with their files and project folders. Workspaces keep related conversations together, and execution records let you inspect what the agent did and what it produced.

n8n is a workflow automation platform for technical teams connecting AI agents to business processes and their own data. Its visual editor lets you inspect individual steps and add code where a workflow needs custom behavior.

BrainSoup is a desktop AI agent app for people who want to automate tasks with assistants that have distinct roles and access to their own documents. You direct the agents through conversation and can have them work together on a shared task.

chaiNNer is a desktop editor for people who want AI upscaling and repeatable image processing without writing scripts. Its visual workflows combine model processing with ordinary edits, so you can reuse the same chain across a collection of images.

AlexClaw is a personal AI agent for monitoring information sources and automating recurring tasks on your own infrastructure. It has one operator and no multi-user access control.

DataFlow is a Python system for researchers and teams preparing data for LLM training or RAG. It turns noisy PDFs, plain text, and question-answer datasets into data suited to a specific domain or training task.

Pi Extensible Workflows is an extension for developers who want repeatable processes involving several AI agents. It coordinates resumable workflows inside the Pi host environment and lets you inspect work while it runs.

Dagu turns existing scripts and runbooks into scheduled workflows for operations, data pipelines, and AI automation. You define dependencies and actions in YAML, then inspect runs and retry failures from its built-in Web UI.

Rivet is a desktop visual AI agent builder for developers working with connected prompts and application logic. Teams can inspect complex LLM workflows as graphs and run those graphs inside their own applications.

LocoAgent is an AI agent for automating social media work through logged-in Chrome sessions. It builds on a fork of the Claude Code CLI and runs on your computer, while social activity requires an internet connection and accounts on the relevant platforms.

ChatDev is a self-hosted AI agent platform for people building research, data analysis and software workflows. Its DevAll application runs the workflow backend on your computer or server, with a browser console for designing and overseeing agent teams. Model access uses your chosen provider's API credentials and endpoint; choosing a cloud provider sends model requests to that service.

OpenFang runs recurring AI tasks on your own machine and reports their results to a desktop dashboard. It's for people who want research, monitoring or business automation to continue on a schedule without starting each job in chat.