Full visual agent/LLM workspace; choose when you want a collab builder with monitoring under Apache-2.0.
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
- 29.5k
- TypeScript
- Apache-2.0
AI agent and workflow platform
Dify is an open-source low-code platform for building agentic workflows, RAG pipelines, and LLM apps via a collaborative workspace, deployable on cloud or self-hosted.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Full visual agent/LLM workspace; choose when you want a collab builder with monitoring under Apache-2.0.
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
Full visual agent development platform from Coze; choose when you want an all-in-one visual tool under Apache-2.0.
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
Enterprise visual agent workflow platform; choose when you need a commercial-friendly Java-based platform with governance.
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Self-hosted multi-tenant knowledge agent platform; choose when you need RAG and knowledge graphs with multi-tenancy.
可私有部署的多租户知识智能体平台:统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Lightweight Python agent framework with WebUI; choose when you want a minimal self-hosted harness instead of a full platform.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Code-first Google Python toolkit; choose when you want direct control over agent code instead of a visual editor.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Python framework for role-based agent crews; choose when you prefer code-defined multi-agent orchestration over a GUI.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Code-first agent platform toolkit; choose when you need programmatic agent management without a web workspace.
Build, run, and manage agent platforms.
Low-level graph agent framework; choose when you need code-defined stateful agent logic.
Build resilient agents.
Lightweight OpenAI multi-agent framework; choose when you want OpenAI-native code-first workflows.
A lightweight, powerful framework for multi-agent workflows
Batteries-included LangGraph harness; choose when you want prebuilt agent skills in code.
The batteries-included agent harness.
Code-first managed agent/workflow runtime; choose when you want managed background execution and AI agents.
Trigger.dev – build and deploy fully‑managed AI agents and workflows
Cross-ecosystem agent framework from Microsoft; choose when you are on Python/.NET and want code-first orchestration.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Developer-coded LLM flow toolkit; choose when you want Azure-bound evaluation and prompt tuning.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Production-oriented multi-agent harness; choose when you need resilient code-first agents at scale.
Multi-Agent Harness for Production AI
Code-first AI workforce framework; choose when you want autonomous agents up in a few lines instead of a platform.
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
Go-native agent toolkit; choose when you want to build agents in Go with control.
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
JVM agent framework; choose when you build agents in Kotlin/Java.
Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
Memory-first agent harness; choose when you want self-improving, memory-centric agents over a general platform.
The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
A personal AI agent application; choose when you want a ready-to-run assistant, not a builder platform.
The agent that grows with you
Ready-to-install multi-channel AI assistant; choose when you want an out-of-the-box agent harness instead of a platform.
Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
Ready-to-use AI assistant with computer/browser use; choose when you want a prebuilt agent app instead of building one.
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
These projects were analysed and named dify among their alternatives. The relationship is not symmetric — how dify rates them is a separate judgement, made when dify is analysed in its own right.
calls dify “visual AI workflow and RAG platform; choose for a rich model/tool ecosystem and self-hosting.”
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
calls dify “Choose for a mature alternative with a large plugin ecosystem and similar visual RAG workflows.”
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
calls dify “Choose for a popular self-hosted platform with strong RAG pipelines and a large plugin ecosystem.”
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
calls dify “Choose when you want a full LLMOps platform with RAG pipelines and model management alongside agentic workflows.”
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
calls dify “open-source visual agent builder with RAG and workflows; direct low-code peer to Coze Studio.”
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
calls dify “When you want a more established platform with broader model support, a larger community, and a TypeScript codebase.”
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
calls dify “when you need a mature community-driven low-code agent platform with RAG and broad model support.”
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
calls dify “Visual workflow/RAG builder with model support; choose if you need to build custom AI workflows.”
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
calls dify “Choose Dify when you need a visual workflow/RAG builder and an app platform rather than a pure chat UI.”
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active
calls dify “LLM-first low-code platform with RAG and model management, better for AI apps than general internal tooling.”
ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
calls dify “Choose for self-hosted agent workflows and RAG pipelines in production rather than a lightweight goal agent.”
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
calls dify “Choose for a low-code collaborative workspace to build agentic workflows and RAG pipelines.”
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
calls dify “Visual LLM app platform with workflows/RAG, choose it when you need a general agent builder rather than DB-GPT's data-analysis functionality.”
open-source agentic AI data assistant for the next generation of AI + Data products.
calls dify “Visual agentic RAG platform; choose if you prefer a mature visual workflow UI over Yuxi's LangGraph/KG stack.”
可私有部署的多租户知识智能体平台:统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
calls dify “choose it when you want a visual workflow/RAG builder and workspace rather than code-defined agent clusters”
IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.
calls dify “Visual no-code platform for building agentic workflows and RAG pipelines; choose it for a UI-driven approach instead of code/API configuration.”
GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
calls dify “Choose when you want a self-hosted visual workspace with built-in RAG and workflow orchestration rather than a Python agent library.”
Extensible AGI Framework
calls dify “Choose when you want a self-hosted visual LLM/agentic workflow platform with RAG.”
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
calls dify “Choose for an end-user platform to build agentic workflows and RAG pipelines with a collaborative workspace.”
Build, run, and manage agent platforms.
calls dify “Low-code GUI platform for agent workflows; choose if you want a visual builder over a code-first SDK.”
Trigger.dev – build and deploy fully‑managed AI agents and workflows