Agenta records 45,760 monthly visits with +29.5% month-over-month growth and Freemium pricing. Dify records 819,691 monthly visits with -15% growth and Freemium pricing.
Open-source workspace for building, evaluating and shipping AI agents
Build, deploy, and govern production-ready agentic AI workflows
| Dimension / Metric | | |
|---|---|---|
| Official Domain | agenta.ai | dify.ai |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 45.76K (45,760) | 819.69K (819,691) |
| MoM Traffic Delta | +10.41K (+29.5%) | -144.26K (-15%) |
| Primary Market & Share | 🇺🇸 United States (23.1%) | 🇨🇳 China (46.7%) |
| Direct Visits / mo | 17.21K | 470.6K |
| User Rating | 4.4 | 4.8 |
| Supported Platforms | Website | Website |
Open-source workspace for building, evaluating and shipping AI agents
Assemble agents from templates or from scratch, give them models, skills and tools, and run them from a chat UI, Slack or Telegram.
Wire agents into Notion, GitHub, HubSpot, Slack, Linear, Drive and more over MCP, and swap tools or skills without rewriting the agent.
Score agent outputs, collect feedback and inspect every run with duration, token usage and cost logging so improvements are measurable.
Decide which actions run unattended and which require approval, while credentials stay in a vault your agent can use but cannot read.
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.
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-sourceRun many coding agents in parallel, each in its own worktree
Free / Open-sourceRun many coding agents in parallel, each in its own worktree
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-sourcePut always-on AI agents on your team chat
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
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.
