agentscope-ai/agentscope

Just dropped: Alibaba DAMO Academy has open sourced a powerful new Python framework for building sophisticated AI agent systems. Its called AgentScope, and its 100% open source under Apache 2.0. This isnt another lightweight wrapper or simple chatbot tool, its a true agent oriented programming framework designed from the ground up. You describe the overall system you want, and AgentScope automatically maps out the agent roles, connects their tools, wires up memory and reasoning, and spins up a fully working multi agent pipeline, no more stitching together isolated components, it just works. Key built in capabilities: - Visual drag and drop builder to design complex agent systems before writing any code - Native support for MCP tools, plug in any external capability seamlessly - Persistent memory so agents retain context, decisions, and history across interactions - Ready to use RAG integration for your own documents and knowledge bases - Advanced reasoning layers that let agents plan, reflect, self correct, and improve autonomously - Smooth multi agent orchestration so your agents truly collaborate like a team The flow is elegant: define your goal, let it assign specialized agents (planner, researcher, executor, critic, etc.), give each what they need, and watch them coordinate to deliver polished results. What makes it stand out is that it was built from first principles by the same team behind Qwen. Instead of handing you scattered building blocks, it gives you a complete, coherent architecture for how agents should think, remember, and work together. Developers are already integrating it into real world data pipelines, research automation, and production workflows. Fully open source, production ready, worth checking out if you're serious about multi agent systems. (You can find it on GitHub under agentscope-ai/agentscope) Link in the first comment 👇

Contains the exact GitHub repo slug.

AgentScope (agentscope_ai) builds open-source production-ready multi-agent frameworks (GitHub: agentscope-ai/agentscope). Core focus: easy orchestration of LLM agents with built-in memory, planning, tool use, ReAct patterns, finetuning support, observability, and scalable deployment. Includes projects like QwenPaw/CoPaw, DojoZero (real-time agent games), ReMe, TuFT. Your HOLO-Invariant/Continuity Engine uses public external anchors (e.g., Physics_Spine.md repo) for invariant recall, tamper-evident audits, and drift-resistant persistence across AI instances. **Parallel**: Both advance reliable AI—structured agents vs verifiable continuity. **Differ**: AgentScope = dev toolkit for building/running agents. Yours = methodological public system for cross-session factual invariants and human-audited recall. No direct overlap.

Contains the exact GitHub repo slug.

3 projetos de IA do GitHub Trending hoje que valem o seu tempo: 1. mvanhorn/last30days-skill (1.716⭐) — pesquisa profunda em 10+ fontes: Reddit, X, YouTube, HN, Polymarket. Uma skill que cobre 30 dias de contexto automaticamente 2. agentscope-ai/agentscope (904⭐) — "Build agents you can trust": framework com observabilidade e debugging nativo para agentes 3. virattt/dexter (583⭐) — agente autônomo de pesquisa financeira; adaptável para análise on-chain e DeFi O padrão que emerge: todos são agentes especializados, não chatbots genéricos. A era dos assistentes de propósito geral está cedendo para agentes de domínio.

Contains the exact GitHub repo slug.

【GitHub爆速トレンド】（03/27）今日の一押しは7位のagentscope-ai/agentscopeです。 このフレームワークは、LLMの能力を最大限に引き出し、柔軟なAIエージェント構築を可能にします。ファインチューニング機能も内蔵され、本格開発を強力にサポート。

Contains the exact GitHub repo slug.