by ATaC-team · MCP Server · ★ 224
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 注册 Agent 内置工具和 MCP 工具 python import asyncio import inspect import sys from pathlib import Path from atac import AtacService import atac.subprocess as subprocess from langchaincore.tools import tool from langchainmcpadapters.client import MultiServerMCPClient service = AtacService() @tool def bash(command: str) - str: """在当前运行目录里执行 shell 命令。"""...
| Stars | 224 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 45.2/100 |
| Last Updated | 2026-04-14 |
| Created | 2026-01-14 |
| Platforms | mcp, python |
| Est. Tokens | ~86k |
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ATaC is Record and Replay AI Agent Trajectories.. It is categorized as a MCP Server with 224 GitHub stars.
ATaC is primarily written in Python. It covers topics such as agent-infra, agents, mcp.
You can find installation instructions and usage details in the ATaC GitHub repository at github.com/ATaC-team/ATaC. The project has 224 stars and 11 forks, indicating an active community.
ATaC is released under the MIT license, making it free to use and modify according to the license terms.