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agentscope

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Basic Information

AgentScope is a developer-focused framework for building, running, and orchestrating LLM-powered multi-agent applications. It provides an agent-oriented programming model that makes prompt engineering, API invocation, workflow orchestration, and state management explicit and visible to developers. The project targets Python environments (Python 3.10+) and can be installed from source or via PyPI. AgentScope exposes modular components for models, tools, agents, messaging transports, memory, tracing, session management, evaluation, and prompt formatting so teams can compose custom agents and multi-agent workflows. The repository includes examples demonstrating conversational ReAct agents, tool integration, and multi-agent scenarios, and it is accompanied by documentation, tutorials, and an optional AgentScope Studio for visual tracing and monitoring. The design emphasizes modularity, transparency, and multi-agent message passing rather than opaque encapsulation.

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7731
App URL
https://github.com/agentscope-ai/agentscope
Github Repository
https://github.com/agentscope-ai/agentscope/blob/main/README.md

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App Details

Features
AgentScope provides modular, LEGO-style components for models, tools, agents, memory, tracing, sessions, evaluation, and prompt formatting. It is model-agnostic and supports asynchronous execution, streaming and non-streaming model returns, and parallel tool calls. The toolkit API allows registration of tool functions such as executing Python code or shell commands and supports group-wise tool management, post-processing, and user interruption handling. MCP supports streamable transports including HTTP, SSE, and StdIO and enables fine-grained client and function control. The agent runtime offers realtime steering and customizable interruption handlers, automatic state management, agent hooks, and agent-controlled long-term memory. Tracing integrates with third-party platforms and AgentScope Studio provides visual tracing and monitoring for development and debugging. The package includes distributed and parallel evaluation utilities and comprehensive tutorials and API docs.
Use Cases
AgentScope helps developers design, test, and deploy composable LLM agents and multi-agent workflows with explicit control over prompts, tools, and state. Its transparency and tracing features make debugging and auditing interactions straightforward during development. Asynchronous and streaming support enable responsive production systems and parallel tool calls speed complex workflows. Built-in memory and session management allow agents to maintain short- and long-term context, while hooks and interruption handling provide runtime customization and realtime steering. The toolkit and tools API simplify integrating external functionality like code execution or shell commands. AgentScope Studio and tracing integrations help visualize agent behavior and performance. Tutorials, examples, and an API surface reduce the friction from prototype to deployment for teams building conversational agents, multi-agent debates, routing, handoffs, and evaluation pipelines.

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