Best Alternatives to PraisonAI

AG2 is the open-source AgentOS for building multi-agent AI systems — evolved from Microsoft's AutoGen and now community-maintained. It provides production-ready agent orchestration with conversable agents, group chat, swarm patterns, and human-in-the-loop workflows, letting development teams build complex AI automation without vendor lock-in.

From Free

Agency Swarm is an open-source Python framework for building collaborative agent teams ("agencies") on top of the OpenAI Agents SDK / Responses API, with role-based agents, Pydantic-typed tools, and production-focused deployment patterns.

From Free

Open-source CLI tool for scaffolding AI agent projects across multiple frameworks including CrewAI, LangGraph, OpenAI Swarms, and LlamaStack — the create-react-app for AI agent development.

From Free

Microsoft's visual no-code interface for building, testing, and deploying multi-agent AI workflows using the AutoGen v0.4 framework, enabling teams to orchestrate collaborative AI agents without writing code.

From Free

Open-source autonomous AI agent platform with low-code Agent Builder for creating multi-step automation workflows. Self-hosted and free. One of the most-starred AI projects on GitHub with 170K+ stars.

From Free (open source)

CAMEL-AI is an open-source multi-agent framework focused on finding the scaling laws of agents, with role-playing agents, a Workforce abstraction, and 60+ tool integrations.

From Free

Google's open-source, code-first framework for building, evaluating, and deploying AI agents. Optimized for Gemini but model-agnostic, with built-in multi-agent orchestration and Vertex AI deployment.

From $0

Multi-agent framework presented as an AI software company model for natural-language programming, where specialized agents collaborate on software development tasks.

From $0

MetaGPT is a free, open-source multi-agent software development framework that uses specialized AI roles such as product manager, architect, engineer, and QA reviewer to turn natural-language requirements into structured project outputs, while users remain responsible for LLM API costs, setup, validation, and deployment.

From $0 open-source software access; separate operational costs vary

An open-source runtime security framework from Microsoft designed to govern autonomous AI agents in production. It is positioned as a layered governance architecture for policy enforcement, identity and access management, observability, and reliability controls around agent workloads and their supporting infrastructure. Rather than relying only on changes inside agent prompts or application logic, it is described as a runtime governance layer that can be deployed alongside agent systems to enforce organizational policies, audit decisions, and reduce unsafe behaviors across agentic applications.

Fully managed enterprise platform for building, deploying, and scaling AI agents with advanced multi-agent orchestration, enterprise security, and Azure ecosystem integration

A managed AI and data infrastructure platform that lets teams deploy, orchestrate, and manage AI agent frameworks and data pipelines on their own cloud (AWS, GCP, Azure). It provides a unified control plane for running tools like LangChain, CrewAI, AutoGen, Haystack, and other AI frameworks without managing underlying Kubernetes infrastructure. Unlike generic compute platforms such as Anyscale or Modal, Shakudo focuses on providing a fully pre-integrated stack of 170+ data and AI components that can be composed into production pipelines, all deployed inside the customer's VPC for full data residency and compliance.

Microsoft Research's code-first autonomous agent framework that converts natural language into executable Python code for data analytics, statistical modeling, and complex multi-step computational workflows.

From Free

AI platform that connects your business processes, data, and workflows through multi-agent orchestration for enterprise automation.

From Estimated $50K+/year (Enterprise Pilot)