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Dify.AI vs Hercules

Dify.AI is an open-source LLMOps platform; Hercules is an open-source AI testing agent.

Side by side

What it is
Dify.AI:Dify.AI is an open-source LLMOps platform for building, deploying and managing AI-native apps with visual workflow, agent and knowledge-base tools.
Hercules:Hercules is an open-source AI testing agent that runs end-to-end UI, API, accessibility, security, mobile and visual tests from natural-language specs.
Best for
Dify.AI:No-code visual AI app development
Hercules:Autonomous AI-driven test execution
Who it’s for
Dify.AI:Developers and teams building AI applications, from hobbyists to enterprises
Hercules:QA engineers, developers and product teams needing scalable, low-code test automation.
Pricing
Dify.AI:Freemium
Hercules:Open source
Plans
Dify.AI:Sandbox Free · Community Free
Hercules:—
Open source
Dify.AI:Yes, 157,311 GitHub stars
Hercules:Yes, 1,170 GitHub stars
Works with
Dify.AI:—
Hercules:pip, Docker, browsers, APIs, databases, Salesforce, OpenAI, Groq
DevHunt upvotes
Dify.AI:30
Hercules:22
Launched on DevHunt
Dify.AI:Jan 2023
Hercules:Nov 2025

Dify.AI features

  • Workflow Studio. Drag-and-drop visual builder for agentic workflows with visible execution paths.
  • Agent Builder. Create AI agents with skills, tools and knowledge, usable as apps or workflow nodes.
  • Knowledge Pipeline. Prepare searchable knowledge bases by extracting, cleaning, chunking and indexing data sources.
  • Marketplace Plugins. Install model providers, tools and data source integrations from a shared marketplace.
  • Publish & Monitor. Deploy apps as web experiences, APIs or embeds and track logs, feedback and usage.

Hercules features

  • Zero-code test creation. Write tests in Gherkin or natural language; Hercules generates and runs them automatically.
  • Multi-modal testing. Supports UI, API, accessibility, security, mobile and visual validations out of the box.
  • One-click deployment. Install via pip or Docker and start testing in under five minutes.
  • Extensible toolchain. Build and attach custom tools; includes built-in browsers, APIs and databases.
  • CI/CD ready. Runs locally or in pipelines with Docker native execution and parallel scenario support.
  • Model agnostic. Works with OpenAI, Groq, Llama, Mistral, Anthropic and other LLM providers.
  • Multilingual UI. Provides multilingual capabilities for globally distributed teams.
  • Evidence capture. Records video, network logs and screenshots for each test run.

Based on each tool's website and DevHunt data. Details may change; check the official sites.