# agentscope-typescript
**Repository Path**: fanyc-ai/agentscope-typescript
## Basic Information
- **Project Name**: agentscope-typescript
- **Description**: 同步github代码
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-09-14
- **Last Updated**: 2026-09-14
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
## What is AgentScope?
AgentScope is a production-ready, easy-to-use agent framework with essential abstractions that work 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.
## Why use AgentScope?
- **Simple**: start building your agents in 5 minutes with built-in ReAct agent, tools, skills, human-in-the-loop steering, memory, planning, realtime voice, evaluation and model finetuning
- **Extensible**: large number of ecosystem integrations for tools, memory and observability; built-in support for MCP and A2A; 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
## Requirements
- **Node.js**: 18.0.0 or higher (20.x recommended)
- **Package Manager**: pnpm 8.0.0+ (recommended) or npm
## Features
- **Human-in-the-loop**: Built-in support for user confirmation and external execution, allowing seamless human intervention in agent workflows.
- **Event System**: Multi-agent oriented event-driven architecture for tracking agent lifecycle, tool calls, and streaming responses, designed to be frontend-friendly.
- **MCP Support**: Full integration with Model Context Protocol via both HTTP and stdio transports, enabling standardized tool communication.
- **Skill System**: Extensible skill system for adding custom capabilities with automatic schema generation and hot-reloading support.
## Quick Start
```bash
pnpm install @agentscope-ai/agentscope
# or
# npm install @agentscope-ai/agentscope
```
A quick example for using AgentScope
```typescript
import { Agent } from '@agentscope-ai/agentscope/agent';
import { OpenAIModel } from '@agentscope-ai/agentscope/model';
import { Toolkit, Bash, Read, Write } from '@agentscope-ai/agentscope/tool';
// Create a model
const model = new OpenAIModel({
apiKey: process.env.OPENAI_API_KEY,
model: 'gpt-4o',
});
// Create a toolkit with built-in tools
const toolkit = new Toolkit({
tools: [Bash(), Read(), Write()],
skills: ['/path/to/your/skills'],
skillDirs: ['/path/to/your/skillDirs'], // Monitoring these directories
});
// Initialize an agent
const agent = new Agent({
name: 'Friday',
sysPrompt: 'You are a helpful assistant named Friday.',
model: model,
toolkit: toolkit,
});
// Use the agent
const res = await agent.reply();
console.log(res.text);
// Or, get streaming events from the agent reply
let name = '';
for await (const event of agent.replyStream({})) {
switch (event.type) {
case EventType.RUN_STARTED:
name = event.name;
break;
case EventType.TEXT_BLOCK_START:
process.stdout.write(`${name}: `);
break;
case EventType.TEXT_BLOCK_DELTA:
process.stdout.write(event.delta);
break;
case EventType.TEXT_BLOCK_END:
process.stdout.write('\n\n');
break;
}
}
```
## Project Structure
This is a monorepo containing:
- `packages/agentscope`: Core AgentScope library
- `app/friday`: Example Electron application built with AgentScope
## License
AgentScope is released under Apache License 2.0.
## Contributors
All thanks to our contributors:
