affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
modelscope/agentscope
AgentScope is a multi-agent platform designed to simplify the development of distributed applications empowered by large language models (LLMs). It emphasizes transparent, agent-oriented programming that allows developers to explicitly control prompt engineering, API invocation, agent building, and workflow orchestration without deep encapsulation or hidden processes. The platform supports over 17 LLM API providers, making it model-agnostic and flexible for various use cases. AgentScope's architecture is modular, enabling LEGO-style agent building where components are independent and can be used selectively. It is designed for multi-agent systems with explicit message passing and workflow orchestration, supporting native distribution and automatic parallelization for scalable applications. Customization is a key feature, allowing developers to tailor tools, prompts, agents, workflows, third-party libraries, and visualizations to their needs. The platform is developer-friendly, offering low-code development, visual tracing, and monitoring tools to streamline the process from development to deployment. AgentScope integrates with the Model Context Protocol (MCP) Server, enhancing its capabilities for distributed LLM applications. The project is actively maintained with ongoing development for new versions, additional features, and improved flexibility. It also provides extensive documentation, tutorials, and community support through Discord and DingTalk. AgentScope is suitable for both beginners and experts aiming to build robust, scalable, and customizable LLM-powered multi-agent applications with fault tolerance and distributed computing capabilities.
https://github.com/modelscope/agentscope
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