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

4.7 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

Open Source Multi-Agent Framework Drag-and-Drop Distributed Developer Tools Workflow Automation

Overview

AgentScope is an open-source multi-agent framework that offers a drag-and-drop UI, distributed execution, tool calls, and fault tolerance. It is designed to work with increasingly agentic large language models (LLMs), leveraging their reasoning and tool use abilities. The framework provides essential abstractions for building agents, including an event system, permission system, multi-tenancy and multi-session support, and a workspace/sandbox environment for running tools and code in isolation. AgentScope also features an extensible middleware system that allows customization and extension of the agent's reasoning-acting loop. AgentScope 2.0 is a production-ready version of the framework, which supports a unified event bus, fine-grained permission control, and production-grade serving with isolation across tenants and sessions. It also includes a pre-built web UI and supports distributed and multi-tenancy features. The framework is suitable for developers and researchers working with LLMs and multi-agent systems. It provides a flexible and customizable platform for building and deploying agent-based applications. AgentScope requires Python 3.11 or higher and can be installed from PyPI or by cloning the source code from GitHub. The framework includes a range of tools and features, such as a Bash tool, Grep tool, and Glob tool, and supports integration with various models, including the DashScopeChatModel.

Key features

Task planning
Unique human-in-the-loop AI assistant
Open-ended models

Pricing

Model: Freemium
Category: AI Agent Development Frameworks
Rating: 4.7 / 5 (6)

Use cases

Build Multi-Agent Workflows Visually

Use the drag-and-drop UI to design and prototype multi-agent systems without writing extensive boilerplate code.

Deploy Distributed Agent Systems

Run agents across distributed environments with built-in fault tolerance to support scalable, reliable production workloads.

Integrate Tool-Calling Agents

Create agents that invoke external tools and APIs to automate tasks like data retrieval, processing, and action execution.

Research and Experiment with Agents

Leverage the open-source framework to prototype, test, and iterate on novel multi-agent architectures and coordination strategies.

Pros & Cons

Pros

Scalable and modular AI agent system
Vulcan -a human-in-the-loop AI assistant
Customizable models and tools

Cons

Models and tools need setup before use
Documentation might be lacking in some areas
Team coordination may be complex

Reviews

4.7

Average from 6 ratings.

Robert Ainsworth

Apr 15, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is the API — handled better than most — and support is responsive. Pricing gets steep at scale is my one real gripe. Worth the time if this is your use case.

Kwame Mensah

Apr 6, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: the onboarding and it is genuinely easy to set up. Where it lags: pricing gets steep at scale. On balance the feature set — especially the automation — justifies the 4 stars for our use case.

Leila Hassan

Mar 20, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is the integrations — handled better than most — and it saves real time. The docs could be deeper is my one real gripe. Worth the time if this is your use case.

Aaliyah Johnson

Feb 6, 2026

Use it every day

Honestly didn't expect to like it this much. The onboarding is exactly what I needed, and the value for money is strong. I do wish the mobile experience lags, but I reach for it almost every day now and it just clicks.

Tariq Aziz

Oct 31, 2025

Use it every day

Honestly didn't expect to like it this much. The integrations is exactly what I needed, and it saves real time. but I reach for it almost every day now and it just clicks.

Jamal Carter

Jun 25, 2025

Solid for our team

We rolled this out across the team last quarter and support is responsive. The automation fits neatly into how we already work, and the dashboard removed a step we used to do by hand. Pricing gets steep at scale, which is the main caveat, but it has held up under daily use.

Q&A

Does AgentScope support distributed execution and fault tolerance for production workloads?

Yes. AgentScope includes built-in distributed execution and fault tolerance, allowing multi-agent workflows to run across nodes and recover from failures, which helps support more reliable, scalable production use cases.

Is AgentScope free to use, and can I self-host it?

Yes. AgentScope is open-source, so you can use and self-host it without licensing fees. As with any self-hosted framework, you'll be responsible for your own infrastructure, deployment, and operational costs.

What is AgentScope and who is it designed for?

AgentScope is an open-source multi-agent framework built for developers and teams creating agent-based applications. It supports drag-and-drop UI design, distributed execution, tool calls, and fault tolerance, making it suitable for both rapid prototyping and production-scale deployments.