🏗️ AI Agent Frameworks

Open-source multi-agent framework forked from Microsoft AutoGen, using conversation-driven coordination to orchestrate AI agents for code generation, research, and collaborative problem-solving.

The next-generation AG2 platform with AgentOS runtime, framework interoperability, teachable agents, and enhanced planning for production multi-agent systems.

Open-source Python framework that organizes AI agents into company-like hierarchies with strict communication channels. Built on the OpenAI Agents SDK. Free to use; you pay only for API calls to the LLM providers.

Open-source standard that gives AI agents a common API to communicate, regardless of what framework built them. Free to implement. Backed by the AI Engineer Foundation but facing competition from Google's A2A and Anthropic's MCP.

Browser-based platform for creating autonomous AI agents that break goals into tasks and execute them. Open-source with 34K+ GitHub stars, but development has slowed since 2023. Free tier available; Pro at $40/month.

No-code platform for building AI agents with voice interactions, MCP integrations, and multi-model support. Deploy specialized agents for lead routing, document analysis, and business workflows. Free tier includes 1,000 agent calls.

Open-source CLI that scaffolds AI agent projects across frameworks like CrewAI, LangGraph, and LlamaStack with one command. Think create-react-app, but for agents.

Open-source Python framework (formerly Phidata) for building AI agents with built-in memory, knowledge bases, and multi-agent teams. Ships with AgentOS for production deployment.

Akkio is a no-code machine learning platform that lets non-technical teams build and deploy predictive models in minutes, not months. While DataRobot and H2O.ai target data science teams with deep ML expertise, Akkio targets media agencies and business teams who need predictions without writing a line of code.

Enterprise-grade access to Claude models through Amazon Bedrock, combining Claude's reasoning capabilities with AWS security, compliance, VPC isolation, and native service integration for regulated industries.

AI-powered no-code platform by Google that creates mobile and web applications from data sources with intelligent automation and enterprise integration

Open-source Python framework for building AI agents with Pydantic schema validation and modular, composable components. Free, lightweight alternative to larger agent frameworks.

Open-source multi-agent framework from Microsoft Research with asynchronous architecture, AutoGen Studio GUI, and OpenTelemetry observability. Now part of the unified Microsoft Agent Framework alongside Semantic Kernel.

Microsoft's free visual interface that democratizes multi-agent AI development, letting non-developers build complex agent workflows without writing Python code.

Open-source autonomous AI agent framework that breaks goals into sub-tasks and executes them without human intervention, powered by GPT-4 and community-built plugins.

The evolved autonomous AI agent platform that fixes the original AutoGPT's execution issues with a dual approach: no-code Platform for builders and refined open-source framework for developers.

AWS managed service for building enterprise AI agents with foundation models from multiple providers, featuring AgentCore runtime and browser automation.

The 140-line Python script that proved AI could manage its own task list, inspiring AutoGPT, CrewAI, and the entire autonomous agent movement.