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Build and run AI apps with cloud or self-hosted deployment

Dify is a platform for creating AI apps, agents, chatflows, and workflows with either a cloud service or self-hosted setup. It offers a free sandbox and paid plans for individuals and teams that need higher usage, more workspaces, and collaboration.

API
B2B
For Developers
Cloud Hosted
Self-Hosted
Hybrid
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Recent activity

What's happened with Dify lately

  • Score change
    Rubric upgrade v3_0 → v3.1: score 10/32 → 13/361013/36(+3)

    Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.

    See the news that prompted this

News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

Dify is an AI app platform for developers and teams building production LLM applications. From the pricing page, it positions itself around app building, RAG pipelines, integrations, observability, and workflow-based agent apps rather than simple chat.

What to Know

The platform looks strongest for teams that want a managed way to build and operate AI applications with document handling, logs, and app publishing. The pricing page also suggests meaningful limits by plan, especially around message credits,...

Key Features
Cloud-hosted and self-hosted deployment options
Free sandbox with 200 message credits
Supports OpenAI, Anthropic, Llama 2, Azure OpenAI, Hugging Face, and Replicate
Builds chatbot, text generator, agent, chatflow, and workflow apps
Knowledge base with document upload and knowledge storage limits
Use Cases
A developer prototyping an AI app with the free sandbox before moving to a paid workspace
A small team building a production chatbot or workflow app with document retrieval
A company that wants a self-hosted option for tighter infrastructure control
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: May 22, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing
  • Free / open source — full functionality available at no cost.
Details
AddedMarch 26, 2026
RefreshedMarch 28, 2026
Agenticness
Quick Facts
DeploymentHybrid (cloud + self-hosted)
AutonomySemi-autonomous
Model supportMulti-model
Open sourceYes
Team supportSmall team
Pricing modelFree / open source
Interfaceweb, api

Semantic Kernel is Microsoft’s lightweight, open-source framework for adding AI models and agent workflows to C#, Python, and Java applications. It helps developers connect prompts, plugins, memory, and model calls into software that can take actions through existing APIs.

Open Source
API
Memory
+3

Agent Development Kit (ADK) is a framework for developers building AI agents and multi-agent workflows. It supports Python, TypeScript, Go, and Java, and is designed to run across different models and deployment setups.

API
Integrations
Multi-Agent
+4

Documentation for the Xet content-addressed storage protocol and its reference implementations. It is aimed at developers building clients or tools that upload and download data from Hugging Face Hub using Xet.

MetaGPT assigns different roles to LLMs to simulate a software team. It can turn a short requirement into artifacts like user stories, requirements, APIs, and code repositories.

Chrome Extension
Code Execution
File Access
+5
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