AI Agents are still in their early stages, and building one requires some basic programming knowledge.
Automation Platforms:
These are considered automation platforms strictly speaking. However, with the recent integration of LLM, they now function similarly to an AI Agent. Their ease of deployment and use, along with wide support for various online platforms, have attracted many users, significantly enhancing business processes. That’s why they’re included here.
Part 1
Make.com is a versatile online platform that allows users to create custom workflows and automate tasks by connecting different applications and services without requiring coding knowledge.
Zapier
Zapier is a flagship application in the automation field, and after integrating LLM functionality, its use cases and capabilities have been greatly enhanced.
n8n AI Agent is an open-source, highly customizable automation tool that empowers users to build intelligent, goal-oriented workflows by connecting large language models (like GPT-4) with a wide range of tools and APIs, enabling autonomous decision-making and complex task automation far beyond simple text generation.
What makes n8n AI Agent better or different from competitors:
Unlike closed platforms (e.g., Zapier, Make.com), n8n offers ultimate flexibility through open-source code, self-hosting, and deep customization, ensuring you’re not locked into a vendor or pricing model
Its AI Agent node acts as a true decision-maker, orchestrating multi-step, context-aware workflows that go beyond static prompts or simple API calls—something most other automation tools struggle to offer natively
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools so that you can focus on what matters.
Assemble, configure, and deploy autonomous AI Agents in your browser.
Part 2
CrewAI is a fast, open-source Python framework that enables developers to build collaborative teams of autonomous AI agents—each with specialized roles and tools—to automate complex, structured workflows, standing out from competitors by offering deep customization, model-agnostic integration, and a modular, role-based architecture that excels in enterprise and multi-agent scenarios.
What sets CrewAI apart:
Unlike many frameworks focused on single-agent or open-ended problem-solving, CrewAI specializes in structured, team-based automation where agents collaborate as a coordinated unit—ideal for known, repeatable business processes.
Its modular, role-based architecture and flexible agent orchestration allow for granular control over workflows, agent interactions, and integration with diverse AI models and external tools.
CrewAI’s open-source nature and broad LLM compatibility provide greater transparency, extensibility, and future-proofing compared to more closed or single-model frameworks.
Dify AI is an open-source platform for building generative AI applications, featuring a no-code/low-code visual workflow builder, robust Retrieval-Augmented Generation (RAG) engine, and flexible agent framework, which sets it apart from competitors by enabling rapid, production-grade LLM app development even for non-technical users, with broad model support, intuitive orchestration, and seamless deployment—all in a single, integrated solution.
OpenAI released ChatGPT Operator, an AI agent that uses its browser to automate online tasks like booking reservations and ordering groceries, interacting with websites just like a human would.
Manus AI is a groundbreaking, fully autonomous artificial intelligence agent capable of handling complex, real-world tasks independently, surpassing traditional AI assistants by delivering tangible results rather than just providing advice or answers.
Customizable Agent Frameworks/Agent Building Platforms:
An Open-Source Programming Framework for Agentic AI
AI Software Engineers
Cosine Genie is an advanced AI-powered software engineering model that has achieved the highest score on the SWE-Bench test, demonstrating its ability to autonomously perform complex coding tasks like debugging, feature development, and code refactoring.
Devin is generally available and only offers a $500/month team plan.
Resources to build AI Agents:
Anthropic's Model Context Protocol (MCP) is an open standard designed to unify AI models with external tools and data, providing a universal interface for integrating diverse data sources and enhancing AI applications' context-aware capabilities.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by the OpenAI Solution team.
