Free / Open-sourceOpen-source workflow automation built for AI agents and technical teams
#1Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. Droidrun records 7,576 monthly visits with -10.3% growth and Free Trial, Contact for Pricing pricing.

The phone layer that gives every AI agent a real device
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | dify.ai | droidrun.ai |
| Pricing Model | Freemium | Free Trial, Contact for Pricing |
| Monthly Visits | 819.69K (819,691) | 7.58K (7,576) |
| MoM Traffic Delta |
| -144.26K (-15%) |
| -871 (-10.3%) |
| Primary Market & Share | 🇨🇳 China (46.7%) | 🇺🇸 United States (46.4%) |
|---|
| Direct Visits / mo | 470.6K | 3K |
|---|
| User Rating | 4.8 | 4.2 |
|---|
| Supported Platforms | Website | Website |
|---|

Build, deploy, and govern production-ready agentic AI workflows
A visual canvas where retrieval, branching, tool calls, human review, and model steps form a visible, testable execution path you can debug and hand off.
Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.

The phone layer that gives every AI agent a real device
Streamed, scalable Android devices that agents control through an API, removing the need to maintain physical handset labs.
An open layer that connects any AI agent to a phone, with strong published results on the AndroidWorld benchmark.
Describe the outcome you want; the agent reads the screen and decides which taps, swipes and text entries to perform.
Run many phones in parallel for testing, data collection or high-volume workflows.
Free / Open-sourceOpen-source workflow automation built for AI agents and technical teams
#1Free / Open-sourceA free, open-source personal AI agent that learns your projects and works across every messaging app.
#2
Free / Open-sourceOpen-source personal AI assistant that runs on your own machine and works from chat apps
#3Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language

Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.

SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.

Free / Open-sourceOpen-source AI automation that unifies agents, flows and 770+ app integrations

Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.

Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.

Provides an all-in-one visual workspace for building custom AI agents and publishing them to messaging platforms.

SpecialistRun a team of AI agents on your own computer
Free / Open-sourceOpen-source workflow automation built for AI agents and technical teams
Free / Open-sourceA free, open-source personal AI agent that learns your projects and works across every messaging app.
Free / Open-sourceOpen-source personal AI assistant that runs on your own machine and works from chat apps
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
Free / Open-sourceOpen-source AI automation that unifies agents, flows and 770+ app integrations
Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.
Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.