
Free / Open-sourceAutomate work across thousands of apps — no code required

Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. Mediar records 4,369 monthly visits with +14.9% growth and Contact for Pricing pricing.
AI agents that automate any Windows desktop workflow
| +566 (+14.9%) |
| Primary Market & Share | 🇨🇳 China (46.7%) | 🇺🇸 United States (97.9%) |
|---|
| Direct Visits / mo | 470.6K | 1.72K |
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| User Rating | 4.8 | 4.1 |
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| Supported Platforms | Website | Website |
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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.
AI agents that automate any Windows desktop workflow
Capture a task as you perform it in a Windows application and let Mediar turn the demonstration into a reusable automation in about half a minute.
The agents interact with applications through OS-level accessibility interfaces instead of pixels or coordinates, which Mediar presents as the basis for its reliability claims.
Workflows adapt when an application's layout or fields shift, reducing the maintenance burden that typically follows RPA rollouts.
Track active workflows, executions, average speed, success rates and estimated cost savings from a single console.

Free / Open-sourceAutomate work across thousands of apps — no code required

Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
#2Offers 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.

Free / Open-sourceAI agents that run recurring business work for your team

Free / Open-sourceOpen-source desktop AI workforce that runs browser, file, and app tasks for you

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

Free / Open-sourceBuild, share, and control AI agents that actually do the work
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.

Free / Open-sourceAI agents that run document-heavy business processes end to end

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.
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
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.
Free / Open-sourceAI agents that run recurring business work for your team
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
Free / Open-sourceBuild, share, and control AI agents that actually do the work
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
Free / Open-sourceAI agents that run document-heavy business processes end to end
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.