react_agentTier 1 · 70% confidence

ai-agents-react-agent-when-you-need-to-build-a-conversational-agent-that-9e8b59fa

agent: ai_agents

When does this happen?

IF When you need to build a conversational agent that can use tools and maintain memory.

How others solved it

THEN Use AgentScope's ReActAgent class with a model, memory, and toolkit. Register tool functions (e.g., execute_python_code, execute_shell_command) via Toolkit.register_tool_function. The agent follows a ReAct loop reasoning and invoking tools as needed.

toolkit = Toolkit()
toolkit.register_tool_function(execute_python_code)
agent = ReActAgent(name='Friday', sys_prompt='...', model=..., memory=InMemoryMemory(), toolkit=toolkit)
msg = await agent(msg)

Related patterns

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model_loading

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