Free / Open-sourceRun and build with open AI models locally or in the cloud
#1Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. Struct2AI records 1,358 monthly visits with +16.5% growth and Free Trial pricing.

Give your AI assistant real context by sharing project structure and file contents in one click
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | dify.ai | structai.in |
| Pricing Model | Freemium | Free Trial |
| Monthly Visits | 819.69K (819,691) | 1.36K (1,358) |
| MoM Traffic Delta |
| -144.26K (-15%) |
| +192 (+16.5%) |
| Primary Market & Share | 🇨🇳 China (46.7%) | 🇮🇳 India (100%) |
|---|
| Direct Visits / mo | 470.6K | 525 |
|---|
| User Rating | 4.8 | 3.8 |
|---|
| 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.

Give your AI assistant real context by sharing project structure and file contents in one click
Scan a local folder or fetch a repository structure from GitHub in seconds, including private repositories, and view it as a clear tree before exporting.
Pick specific files and merge their contents into one block, or copy the whole folder tree in a single click.
Output is formatted so it drops cleanly into ChatGPT, Claude and similar assistants, giving them an accurate picture of your codebase layout.
The site markets fast analysis of large project structures so the context-gathering step does not slow your workflow.
Free / Open-sourceRun and build with open AI models locally or in the cloud
#1Free / 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.

AI-generated wikis and chat for any public GitHub repository


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-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.

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.

Context-aware AI that plans, codes, tests, and documents across your engineering workflows

SpecialistRun a team of AI agents on your own computer
Free / Open-sourceRun and build with open AI models locally or in the cloud
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.
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
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.
Context-aware AI that plans, codes, tests, and documents across your engineering workflows