AgentScope is a production-ready multi-agent framework designed to simplify the development of LLM-powered applications. It provides high-level abstractions for agent communication, memory management, and tool usage. Rather than using restrictive prompts, AgentScope leverages the inherent reasoning and tool-use capabilities of LLMs. Key features include Real-time Voice, Human-in-the-loop steering, Agentic RL for model tuning, and support for MCP and A2A protocols. It is engineered for scalability, supporting local, serverless, and K8s deployments with integrated OTel monitoring for enterprise-grade observability.
MiniCPM-V is a series of multimodal LLMs optimized for ultra-efficient edge-device deployment. Developed by OpenBMB, it excels in image and video understanding using intra-ViT early compression and LLaVA-UHD v4 technology, reducing visual encoding costs by over 50%. With only 1.3B parameters, MiniCPM-V 4.6 outperforms larger models while maintaining high token throughput. It supports seamless deployment across iOS, Android, and HarmonyOS, enabling real-time multimodal interaction on mobile platforms.