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.
AI Agent Store research
What the evidence says about AgentScope
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.
Last reviewed August 9, 2026
Verified capabilities
- 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
Buying and deployment notes
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]
Deployment: 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 and research method (4)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- 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%
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.
Loading Community Opinions...
Pricing model:
Code access:
Popularity level: 65%
Tags:
AgentScope Video:
Turn this profile into a trust signal
Show prospects that AgentScope has a public place where they can check product details, pricing, ratings, and reviews.
Build confidence
Give buyers a third-party profile to explore.
Reduce hesitation
Put validation beside your strongest CTA.
Earn discovery
Every badge links prospects to your listing.
Choose your style
Preview it, then copy the complete embed code.
Shows buyers where to validate your product, pricing, and reputation.
Plain HTML. No signup, script, or maintenance required.
Describe the job. Get an AI worker you can actually message.
We create the setup, keep it running after your laptop closes, and save its memory. Test in the browser, then add Telegram, WhatsApp, or Slack.
Plans start at $29/month. Cancel anytime.
Hosted agent
OpenClaw or Hermes