multi-agent orchestration category AI agents: Discover our directory of AI automation tools and digital assistants for streamlined workflows.

"multi-agent orchestration" tagged AI Agents

Dynamiq is a low-code GenAI platform to design, build, orchestrate, deploy and monitor multi-agent AI workflows—secure, compliant, and scalable across cloud, hybrid, and on-prem environments.

Dynamiq

dynamiq

Enterprise-grade low-code AI agent platform for building, orchestrating, and deploying compliant multi-agent workflows.

Swarm is an open‑source, educational multi‑agent orchestration framework from OpenAI. It allows developers to define agents with instructions and tools, and supports handoffs—agent transfers via function calls—for dynamic workflows. Swarm is client‑side, stateless between runs, MIT‑licensed, and ideal for exploring multi‑agent patterns, though not intended for production.

OpenAI Swarm

openai-swarm

Open‑source experimental SDK for lightweight multi‑agent orchestration via instructions and handoffs.

AgentScope is an open‑source, developer‑centric multi‑agent platform for building, orchestrating, and deploying LLM‑powered agent systems. It features explicit message passing, zero‑code drag‑and‑drop UI, built‑in tool and MCP support, distributed execution, monitoring, automatic prompt tuning, and fault tolerance.

AgentScope

agentscope

Open‑source multi‑agent framework with drag‑and‑drop UI, distributed execution, tool calls, and fault tolerance.

Strands Agents is an open‑source SDK from AWS for building production‑ready AI agents using a model‑driven architecture. It supports any LLM provider, rich tool integration (including MCP and AWS services), multi‑agent workflows, observability via OpenTelemetry, and deployment in local or cloud environments.

Strands Agents

strands-agents

Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.

Cubeo AI is a no‑code AI assistant and agent builder that lets you create specialist agents (lead finder, email writer, competitor analyst, etc.) powered by your documents, videos and integrations. Agents work together via triggers to automate workflows across sales, marketing, research, and support.

Cubeo AI

cubeo-ai

No‑code platform to build and orchestrate custom AI specialists trained on your data.

Dynamiq offers a platform that enables businesses to create AI agents tailored to their specific needs. These agents can automate various tasks, including reporting, information retrieval, customer service, and decision-making processes. The platform supports deployment on-premise, in the cloud, or in hybrid environments, providing flexibility and control over data. With a user-friendly low-code builder, multi-agent orchestration, and robust observability tools, Dynamiq accelerates the development and deployment of AI solutions while ensuring enterprise-grade security and compliance.

Dynamiq AI Agents

dynamiq-ai-agents

A platform to build custom AI agents for automating tasks like reporting, information retrieval, and customer service.

Browser-Use is an open-source Python package that facilitates AI agents in controlling web browsers to perform automation tasks. It provides a unified interface for multiple AI models and services, including browser automation, allowing AI agents to execute web-based tasks such as data extraction, form submission, and navigation. The package supports integration with various AI providers and offers functionalities like text chat, voice chat, code generation, and multi-modal inputs.

Browser-Use

browser-use

An open-source Python package enabling AI agents to interact with web browsers for automation tasks.

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