AgentScope
Overview
Open‑source multi‑agent framework with drag‑and‑drop UI, distributed execution, tool calls, and fault tolerance.
Best For Professions:
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.
Product overview
Capabilities, pricing and fit
AgentScope is an open-source Python framework for building and operating LLM-powered single-agent and multi-agent applications, not a standalone end-user agent. It provides agent abstractions, multi-agent workflow patterns, tool calling, memory and session management, tracing, evaluation, RAG, and a local visualization environment.
Information as of August 9, 2026
What it can do
- Agent and multi-agent workflows
The framework supports ReAct agents, conversations, debates, concurrent agents, routing, handoffs, pipelines, planning, and A2A agents.[1]
- Tools, memory, and context
AgentScope includes synchronous and asynchronous tool execution, MCP support, session state, short- and long-term memory, RAG, and model adapters.[1], [3]
- Tracing and evaluation
OpenTelemetry-based tracing covers model, tool, agent, and formatter activity, with local Studio visualization and built-in sequential or distributed evaluation components.[1], [4]
Where it fits best
Pricing and availability
AgentScope is an open-source Python framework. Model APIs, hosting, and any connected observability services are separate costs selected by the implementer.[2], [3]
Platforms: Python package, Source code, AgentScope Studio[1], [2]
Access: Installed from PyPI, Installed from source, Self-operated application deployment[1], [2]
Important considerations
- AgentScope is a framework rather than a finished business agent, so developers must choose and configure models, tools, prompts, permissions, and deployment infrastructure.[1], [3]
- The current installation documentation requires Python 3.10 or newer, with optional dependency groups needed for broader model and tool functionality.[2]
Sources (4)
- AgentScope DocumentationDocumentation · checked 2026-08-09
- Installation | AgentScopeDocumentation · checked 2026-08-09
- FAQ | AgentScopeDocumentation · checked 2026-08-09
- Tracing | AgentScopeDocumentation · checked 2026-08-09
Autonomy level
89/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of AgentScope:
- Building multi‑agent workflows with explicit message passing.
- Visual, drag‑and‑drop agent design for zero‑code prototyping.
- Distributed deployment using actor‑based parallel execution.
- Integrating tools, MCP servers, fault‑tolerance, monitoring.
- Implementing multi‑modal agents with LLMs like Qwen, GPT‑4.
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Popularity level: 65%
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