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Alibaba's Tongyi Lab releases AgentScope 1.0 for LLM agent development

By PulseAugur Editorial · [1 sources] ·

AgentScope, an open-source Python framework for building LLM agents, has released version 1.0. Developed by Alibaba's Tongyi Lab, AgentScope facilitates the creation of agents that can reason, utilize tools, and maintain context. The framework emphasizes transparency, allowing users to inspect and modify prompts, messages, and tool calls. It offers features familiar to users of LangChain and AutoGen but aims for a more direct interaction with the underlying models. The latest version, detailed in an arXiv paper, focuses on asynchronous execution and inter-agent communication. AI

IMPACT This release provides developers with a transparent and flexible framework for building sophisticated LLM agents, potentially accelerating the development of multi-agent systems.

RANK_REASON The item describes the release of version 1.0 of the AgentScope framework, which is an open-source tool for building LLM agents, and references an arXiv paper detailing its architecture. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Alibaba's Tongyi Lab releases AgentScope 1.0 for LLM agent development

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The item describes the release of version 1.0 of the AgentScope framework, which is an open-source tool for building LLM agents, and references an arXiv paper detailing its architecture. [lever_c_d…
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · tact labs ·

    AgentScope Basics: Building Your First Agentic Application

    <h2> Why AgentScope </h2> <p>AgentScope is an open-source Python framework for building LLM agents that reason, call tools, remember context, and work together. It favours transparency over magic: every prompt, message, and tool call is something you can see and change.<br /> The…

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