AgentScope is a production-ready, easy-to-use agent framework with essential abstractions that works with rising model capability and built-in support for finetuning. We design for increasingly agentic LLMs. Our approach leverages the models’ reasoning and tool-use abilities rather than constraining them with strict prompts and opinionated orchestrations.Documentation Index
Fetch the complete documentation index at: https://docs.agentscope.io/llms.txt
Use this file to discover all available pages before exploring further.
Why use AgentScope?
- Simple yet powerful: start building your agents in 5 minutes with built-in ReAct agent, tools, skills, human-in-the-loop steering, memory, planning, realtime voice, evaluation, model finetuning, etc.
- Extensible: a large number of ecosystem integrations for tools, memory and observability; built-in support for protocols such as MCP, A2A and agent skills; message hub for flexible multi-agent orchestration and workflows.
- Production-ready: deploy and serve your agents locally, as serverless in the cloud, or on your K8s cluster with built-in OTel support and multi-language support.
Start with AgentScope
- Quickstart ->: Build your first chatbot agent in 5 minutes
- Out-of-box agents ->: Try out our collection of pre-built agents for various use cases
- Basic concepts & building blocks ->: Learn about the core abstractions in AgentScope and how to use them
- Observe & evaluate ->: Learn how to observe and evaluate your agents with built-in OTel support and evaluation tools
- Deploy & serve ->: Deploy your agents locally, as serverless in the cloud or on your K8s cluster, with different protocols and tool sandboxes
We believe agents should be transparent, understandable and steerable by developers.