agentscope
agentscope-ai/agentscope · Updated
Build and run agents you can see, understand and trust.
agentscope-ai/agentscope is a Python repository in the AI Agents category with 34,743 stars and 3,748 forks on GitHub, released under the Apache-2.0 license, last updated today.
How to install agentscope in your AI client
Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.
How to install agentscope in Claude CodeAnthropic's agentic CLI
Clone & open
bashgit clone https://github.com/agentscope-ai/agentscope.git cd agentscope claudeLet Claude read it
Ask “/init” to generate a CLAUDE.md, then have Claude explain, run, or extend the codebase. It reads files on demand.
How to install agentscope in Claude DesktopDesktop app (MCP config)
Clone the repository
bashgit clone https://github.com/agentscope-ai/agentscope.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
How to install agentscope in CursorAI-first code editor
Clone & open in Cursor
bashgit clone https://github.com/agentscope-ai/agentscope.gitIndex & chat
Open the folder — Cursor indexes it automatically. Use @Codebase in chat to ask about it or scaffold from it.
How to install agentscope in Codex CLIOpenAI coding agent
Clone
bashgit clone https://github.com/agentscope-ai/agentscope.gitPoint Codex at it
Run codex in the repo root; add setup notes to AGENTS.md so the agent knows how to build & test.
How to install agentscope in WindsurfCodeium's agentic IDE
Clone & open
bashgit clone https://github.com/agentscope-ai/agentscope.gitUse Cascade
Windsurf indexes the workspace; ask Cascade to explain or reuse modules from the repo.
How to install agentscope in ClineVS Code autonomous agent
Clone the repository
bashgit clone https://github.com/agentscope-ai/agentscope.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
How to install agentscope in VS CodeCopilot / MCP support
Clone the repository
bashgit clone https://github.com/agentscope-ai/agentscope.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
Documentation
Full README**中文主页** | **Documentation** | **Roadmap**
What is AgentScope 2.0?
AgentScope 2.0 is a production-ready, easy-to-use agent framework with essential abstractions that keep up with rising model capability.
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.
News
- [2026-10] `FEAT` `Experimental`: Agent service supports realtime voice conversations over WebRTC, with text and voice sharing the same session history.
- [2026-09] `FEAT` `Experimental`: SOP supported — run multi-step tasks as standard operating procedures, in both the framework and agent service. Docs | Service
- [2026-09] `FEAT`:
TeamPipelinesupported — a leader agent delegates tasks to member agents. Docs - [2026-09] `INTE`: MiniMax chat models supported via
MiniMaxChatModel(MiniMax-M3 by default). - [2026-09] `FEAT`: Model routing supported — use
ModelRouterMiddlewareto select an appropriate chat model for each reply. - [2026-09] `INTE`: Jev classifier model supported through the TypeSafe SDK via
JevClassifierModel. - [2026-09] `FEAT`: agentscope-skill now supports AgentScope v2.
- [2026-09] `INTE`: Support DashScope, OpenAI, Gemini and xAI realtime APIs in
RealtimeAgent. Example | Docs - [2026-09] `FEAT` `Experimental`: Realtime voice agent supported. Example | Docs
- [2026-09] `FEAT`: A2A protocol supported — chat with any remote A2A agent via
A2AAgent. Example | Docs
More news →
Community
Welcome to join our community on
| Discord | DingTalk | |----------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------| | | |
Quickstart
Installation
AgentScope requires Python 3.11 or higher.
From PyPI
Excerpt — the full document is on GitHub.
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