AgentScope — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for AgentScope. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 2, 2026 • Sentiment updated: Mar 17, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The Agentscope project seems to be gaining traction, with its focus on multi-agent and multi-modal capabilities. It's likely to be of interest to developers working with large language models and chatbots.

Why AgentScope Stands Out

AgentScope stands out from other agent frameworks with its focus on multi-agent and multi-modal capabilities, making it ideal for complex tasks that require coordination between multiple agents. Its production-ready architecture and built-in support for finetuning, MCP, and A2A protocols make it a valuable tool for developers. Additionally, its extensible ecosystem and large number of integrations provide a high degree of customizability. The project's emphasis on simplicity, with a claimed 5-minute setup time, also makes it an attractive choice for developers who want to quickly build and deploy agents.

Built With

Build a multi-agent chatbot that understands voice commands — AgentScope's ReAct agent and realtime voice support enable this, Build an AI assistant for research tasks — AgentScope's finetuning and MCP support make it possible, Build a custom agent for data processing — AgentScope's extensible ecosystem and A2A protocol support allow for this, Build a voice-controlled agent for smart homes — AgentScope's TTS and multi-modal capabilities enable this, Build an agent that learns from human feedback — AgentScope's human-in-the-loop steering and evaluation features make it possible

Getting Started

  1. Install AgentScope using pip: `pip install agentscope`
  2. Configure the ReAct agent by running `agentscope-react --config config.json`
  3. Set up the message hub for multi-agent orchestration using `agentscope-hub --config hub_config.json`
  4. Fine-tune a model using `agentscope-tune --model my_model --data my_data`
  5. Try the realtime voice agent to verify it works: `agentscope-voice --agent my_agent`

About

Build and run agents you can see, understand and trust.

Official site: https://doc.agentscope.io/

Category & Tags

Category: multi-agent

Tags: agent, chatbot, large-language-models, llm, llm-agent, mcp, multi-agent, multi-modal, react-agent

Market Context

Agentscope is a project that combines the capabilities of large language models and chatbots with multi-agent and multi-modal features, positioning it as a potential competitor in the AI development space.