Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. OpenLIT records 6,028 monthly visits with -18.3% growth and Free pricing.

Open-source, OpenTelemetry-native observability and harness engineering for AI agents
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | dify.ai | openlit.io |
| Pricing Model | Freemium | Free |
| Monthly Visits | 819.69K (819,691) | 6.03K (6,028) |
| MoM Traffic Delta | -144.26K (-15%) | -1.35K (-18.3%) |
| Primary Market & Share | 🇨🇳 China (46.7%) | 🇺🇸 United States (53.6%) |
| Direct Visits / mo | 470.6K | 2.38K |
| User Rating | 4.8 | 4.7 |
| 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.

Open-source, OpenTelemetry-native observability and harness engineering for AI agents
Capture OpenTelemetry traces and metrics for every LLM call, tool invocation, retrieval, and agent step, and filter them by user, session, cost, latency, or custom metadata.
Score production traffic or experiments with LLM-as-a-judge, heuristic checks, or human review so you can measure accuracy, relevance, and safety over time.
Manage and version prompts in Prompt Hub, then deploy, roll back, and update prompts without shipping new application code.
Store and rotate OpenAI, Anthropic, and other LLM API keys outside your codebase with an encrypted, rotating secrets vault.
Free / Open-sourceRun and build with open AI models locally or in the cloud
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.
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.
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-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.

Free / Open-sourceOne open-source AI gateway for 100+ LLM providers

SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
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.
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
AI gateway, observability and guardrails for production LLM apps

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