---
title: "agentscope"
type: "tool"
slug: "agentscope-ai-agentscope"
canonical_url: "https://www.graphcanon.com/tools/agentscope-ai-agentscope"
github_url: "https://github.com/agentscope-ai/agentscope"
homepage_url: "https://docs.agentscope.io/"
stars: 27552
forks: 3138
primary_language: "Python"
license: "Apache-2.0"
categories: ["ai-agents"]
tags: ["multi-agent", "multi-modal", "llm", "large-language-models", "react-agent", "llm-agent", "chatbot", "agent"]
updated_at: "2026-07-07T19:42:40.344562+00:00"
---

# agentscope

> Build and run agents you can see, understand and trust.

A production-ready agent framework with essential abstractions for managing complex multi-agent systems and supporting rising model capabilities.

## Facts

- Repository: https://github.com/agentscope-ai/agentscope
- Homepage: https://docs.agentscope.io/
- Stars: 27,552 · Forks: 3,138 · Open issues: 255 · Watchers: 154
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2026-07-07T10:51:49+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)

## Tags

multi-agent, multi-modal, llm, large-language-models, react-agent, llm-agent, chatbot, agent

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## README (excerpt)

```text
<p align="center">
  <img
    src="https://img.alicdn.com/imgextra/i1/O1CN01nTg6w21NqT5qFKH1u_!!6000000001621-55-tps-550-550.svg"
    alt="AgentScope Logo"
    width="200"
  />
</p>

<span align="center">

[**中文主页**](https://github.com/agentscope-ai/agentscope/blob/main/README_zh.md) | [**Documentation**](https://docs.agentscope.io/) | [**Roadmap**](https://github.com/orgs/agentscope-ai/projects/2/views/1)

</span>

<p align="center">
    <a href="https://arxiv.org/abs/2402.14034">
        <img
            src="https://img.shields.io/badge/cs.MA-2402.14034-B31C1C?logo=arxiv&logoColor=B31C1C"
            alt="arxiv"
        />
    </a>
    <a href="https://pypi.org/project/agentscope/">
        <img
            src="https://img.shields.io/badge/python-3.11+-blue?logo=python"
            alt="pypi"
        />
    </a>
    <a href="https://pypi.org/project/agentscope/">
        <img
            src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fpypi.org%2Fpypi%2Fagentscope%2Fjson&query=%24.info.version&prefix=v&logo=pypi&label=version"
            alt="pypi"
        />
    </a>
    <a href="https://discord.gg/eYMpfnkG8h">
        <img
            src="https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white"
            alt="discord"
        />
    </a>
    <a href="https://docs.agentscope.io/">
        <img
            src="https://img.shields.io/badge/Docs-English%7C%E4%B8%AD%E6%96%87-blue?logo=markdown"
            alt="docs"
        />
    </a>
    <a href="./LICENSE">
        <img
            src="https://img.shields.io/badge/license-Apache--2.0-black"
            alt="license"
        />
    </a>
</p>

<p align="center">
<img src="https://trendshift.io/api/badge/repositories/20310" alt="agentscope-ai%2Fagentscope | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
</p>

## What is AgentScope 2.0?

AgentScope 2.0 is a production-ready, easy-to-use agent framework with essential abstractions that work with rising model capability and built-in support for .

- [**Event System** →](https://docs.agentscope.io/latest/en/building-blocks/message-and-event) A unified event bus to the frontend and human-in-the-loop support.
- [**Permission System** →](https://docs.agentscope.io/latest/en/building-blocks/permission-system) Fine-grained, configurable control over tools and resources.
- [**Multi-tenancy & Multi-session Service** →](https://docs.agentscope.io/latest/en/deploy/agent-service) Production-grade serving with isolation across tenants and sessions.
- [**Workspace / Sandbox Support** →](https://docs.agentscope.io/latest/en/building-blocks/workspace) Run tools and code in isolated environments, with built-in backends for local, Docker, and E2B.
- [**Extensible Middleware System** →](https://docs.agentscope.io/latest/en/building-blocks/middleware) Composable hooks to customize and extend the agent's reasoning-acting loop.

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.

<img src="assets/images/agentscope.png" alt="agentscope" width="100%"/>

## News

- **[2026-07] `INTE`:** ReMe long-term memory supported. [Example](https://github.com/agentscope-ai/agentscope/tree/main/examples/long_term_memory/reme) | [Docs](https://docs.agentscope.io/latest/en/building-blocks/long-term-memory)
- **[2026-06] `FEAT`:** Agentic Memory supported. [Example](https://github.com/agentscope-ai/agentscope/tree/main/examples/long_term_memory/agentic_memory) | [Docs](https://docs.agentscope.io/latest/en/building-blocks/long-term-memory)
- **[2026-06] `FEAT`:** Distributed & Multi-Tenancy & Multi-Session RAG service supported. [Docs](https://docs.agentscope.io/latest/en/deploy/agent-team)
- **[2026-06] `FEAT`:** RAG supported. [Example](https://github.com/agentscope-ai/agentscope/tree/main/examples/rag) | [Docs](https://docs.agentscope.io/latest/en/build
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/agentscope-ai-agentscope`](/api/graphcanon/tools/agentscope-ai-agentscope)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_