Atac

English | 中文

中文

ATaC是一个面向 Agent 工作流的工具运行时，帮助 Agent 通过编排图代码复用资产。

它主要提供三类能力：

• 统一工具注册：把本地 Agent 工具和 MCP 工具纳入同一个运行时
• Agent 自编排 graph：让 Agent 生成的 graph 代码可以直接复用这些已注册能力
• 一键运行：加载并执行这些 graph 工作流

把工具注册到 ATaC，让 Agent 用代码把这些工具组织成流程，并逐步沉淀为可复用、可维护的 graph 工作流。

🤖 最小接入示例

1. 注册 Agent 内置工具和 MCP 工具

import asyncio
import inspect
import sys
from pathlib import Path

from atac import AtacService
import atac.subprocess as subprocess
from langchain_core.tools import tool
from langchain_mcp_adapters.client import MultiServerMCPClient

service = AtacService()


@tool
def bash(command: str) -> str:
    """在当前运行目录里执行 shell 命令。"""
    completed = subprocess.run(
        command,
        shell=True,
        capture_output=True,
        text=True,
    )
    if completed.returncode != 0:
        raise RuntimeError(completed.stderr.strip() or "bash failed")
    return completed.stdout.rstrip("\n")

service.register_langgraph_tools([bash])

client = MultiServerMCPClient(
    {
        "demo_mcp": {
            "transport": "stdio",
            "command": sys.executable,
            "args": [str(Path("simple_mcp_server.py").resolve())],
        }
    }
)

mcp_tools = client.get_tools()
if inspect.isawaitable(mcp_tools):
    try:
        asyncio.get_running_loop()
    except RuntimeError:
        mcp_tools = asyncio.run(mcp_tools)
    else:
        raise RuntimeError("在异步上下文里请先 await client.get_tools() 再注册")

mcp_tools = list(mcp_tools)
service.register_langgraph_tools(mcp_tools)


def get_service() -> AtacService:
    return service

推荐做法：

• 本地工具直接使用原生 langchain_core.tools.tool
• MCP 工具直接使用官方 langchain_mcp_adapters.client.MultiServerMCPClient
• 统一通过 service.register_langgraph_tools(...) 注册到 AtacService

2. 在 graph 代码里调用 ATaC SDK

from langgraph.graph import START, END, StateGraph

from atac import get_service


def run_bash(state: dict) -> dict:
    output = get_service().tool_call("bash", {"command": f"echo {state['who']}"})
    return {"output": output}


def build_graph():
    graph = StateGraph(dict)
    graph.add_node("run_bash", run_bash)
    graph.add_edge(START, "run_bash")
    graph.add_edge("run_bash", END)
    return graph.compile()

🚀 快速开始

1. 安装

uv tool install atac

2. Python SDK

from myapp.bootstrap import get_service

service = get_service()
result = service.run_graph("myapp.graphs:build_graph", {"who": "mob"})

3. 示例

• bootstrap.py
• tool_call_graph.py
• agent_workflow.py
• run_graph_demo.sh
• run_graph_sdk.py

English

ATaC is a tool runtime for agent workflows.

It provides three core capabilities:

• unified tool registration
• agent-authored graph workflows that reuse registered tools
• one-command graph execution

Register tools with ATaC, let agents organize them into workflows as code, and gradually turn repeated tasks into reusable, maintainable graph workflows.

🤖 Minimal Integration

1. Register Built-In and MCP Tools

import asyncio
import inspect
import sys
from pathlib import Path

from atac import AtacService
import atac.subprocess as subprocess
from langchain_core.tools import tool
from langchain_mcp_adapters.client import MultiServerMCPClient

service = AtacService()


@tool
def bash(command: str) -> str:
    """Run a shell command inside the current runtime workdir."""
    completed = subprocess.run(
        command,
        shell=True,
        capture_output=True,
        text=True,
    )
    if completed.returncode != 0:
        raise RuntimeError(completed.stderr.strip() or "bash failed")
    return completed.stdout.rstrip("\n")

service.register_langgraph_tools([bash])

client = MultiServerMCPClient(
    {
        "demo_mcp": {
            "transport": "stdio",
            "command": sys.executable,
            "args": [str(Path("simple_mcp_server.py").resolve())],
        }
    }
)

mcp_tools = client.get_tools()
if inspect.isawaitable(mcp_tools):
    try:
        asyncio.get_running_loop()
    except RuntimeError:
        mcp_tools = asyncio.run(mcp_tools)
    else:
        raise RuntimeError("Await client.get_tools() before registering in async code.")

mcp_tools = list(mcp_tools)
service.register_langgraph_tools(mcp_tools)


def get_service() -> AtacService:
    return service

Recommended path:

• use the native langchain_core.tools.tool decorator for local tools
• use the official langchain_mcp_adapters.client.MultiServerMCPClient for MCP tools
• register everything through service.register_langgraph_tools(...)

2. Call the ATaC SDK from Graph Code

from langgraph.graph import START, END, StateGraph

from atac import get_service


def run_bash(state: dict) -> dict:
    output = get_service().tool_call("bash", {"command": f"echo {state['who']}"})
    return {"output": output}


def build_graph():
    graph = StateGraph(dict)
    graph.add_node("run_bash", run_bash)
    graph.add_edge(START, "run_bash")
    graph.add_edge("run_bash", END)
    return graph.compile()

🚀 Quick Start

1. Install

uv tool install atac

2. Run via Python SDK

from myapp.bootstrap import get_service

service = get_service()
result = service.run_graph("myapp.graphs:build_graph", {"who": "mob"})

3. Examples

• bootstrap.py
• tool_call_graph.py
• agent_workflow.py
• run_graph_demo.sh
• run_graph_sdk.py