Claude Skill

sbhooley/ainativelang

AINL是一个紧凑、图规范的AI原生编程系统,用于构建具有状态、内存、工具调用和验证的确定性多步骤AI工作流。减少提示循环,高效编排智能体。

概览

Stars835
Forks40
语言Python
最后更新2026-06-11
最近同步2026-06-17
前往 GitHub

仓库信息

拥有者sbhooley
仓库ainativelang
完整名称sbhooley/ainativelang
Repo ID1,177,523,998

安装这个 Skill

pip install ainativelang

Registry 信息

类型mcp_server
质量分85/100
验证状态readme_parsed
最近验证2026-06-05
平台
ClaudeMCPOpenClawCodexCursor
能力
browsercode-reviewpdfmemorysearchimageterminalworkflowagent-orchestrationai-agents
识别文件
README.mddocsexamplespyproject.tomlrequirements.txttests
配置键
URLGITHUB_TOKENAINL_POSTGRES_URLAINL_MYSQL_URLAINL_REDIS_URLAINL_DYNAMODB_URLAWS_ACCESS_KEY_IDAWS_SECRET_ACCESS_KEYAINL_AIRTABLE_API_KEYAINL_AIRTABLE_BASE_IDAINL_SUPABASE_DB_URLAINL_SUPABASE_URL
安装方式
  • pip install ainativelang
  • git clone https://github.com/sbhooley/ainativelang.git
  • pip install -e ".[mcp]"
  • pip install -e ".[dev]"

项目简介

AINL(AI原生语言)是一个紧凑、图规范的编程系统,将人工智能从对话式智能体转变为结构化、确定性的工作者。它专为构建需要多步骤、状态与记忆、工具调用、可重复执行、验证与控制,以及减少对长提示循环依赖的AI工作流团队而设计。

英文描述

AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)

要点

  • 图规范的AI原生编程系统
  • 具有状态与内存管理的确定性执行
  • 内置工具调用与多步骤工作流编排
  • 减少提示循环的验证与控制机制
  • 专为可重复AI工作流设计的紧凑DSL

使用场景

  • 构建多智能体编排系统
  • 创建集成工具的确定性AI工作流
  • 开发可重复的业务流程自动化
  • 用结构化执行替代长提示循环
  • 实现具有记忆的有状态AI助手

README 摘要

# AI Native Lang (AINL) <p align="center"> <img src="docs/assets/ainl_logo.png" alt="AINL logo" width="220" /> </p> <p align="center"> Find Us on X: <a href="https://x.com/ainativelang">@ainativelang</a> </p> <p align="center"> <img src="https://img.shields.io/badge/python-3.10%2B-blue" alt="Python 3.10+" /> <a href="https://github.com/sbhooley/ainativelang/tags"> <img src="https://img.shields.io/github/v/tag/sbhooley/ainativelang?label=release" alt="Latest tag" /> </a> <a href="tests/snapshots/conformance/summary.md"> <img src="tests/snapshots/conformance/conformance_badge.svg" alt="Conformance status" /> </a> <a href="https://github.com/sbhooley/ainativelang/actions/workflows/sync-ecosystem.yml"> <img src="https://github.com/sbhooley/ainativelang/actions/workflows/sync-ecosystem.yml/badge.svg" alt="Auto-sync OpenClaw/NemoClaw/Clawflows/Agency-Agents" /> </a> <a href="LICENSE"> <img src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" alt="License: Apache-2.0" /> </a> <img src="https://img.shields.io/badge/MCP-v1%20server-blueviolet" alt="MCP v1" /> <a href="https://github.com/sbhooley/ainativelang/tree/main/skills/ainl"> <img src="https://img.shields.io/badge/ZeroClaw%20Skill-AINL-blue" alt="ZeroClaw Skill: AINL" /> </a> <a href="https://github.com/sbhooley/ainativelang/tree/main/skills/openclaw"> <img src="https://img.shields.io/badge/OpenClaw%20Skill-AINL-blue" alt="OpenClaw Skill: AINL" /> </a> <a href="https://github.com/NousResearch/hermes-agent"> <img src="https://img.shields.io/badge/Hermes%20Agent-AINL-blue" alt="Hermes Agent: AINL" /> </a> <img src="https://img.shields.io/badge/graph--first-deterministic%20IR-orange" alt="Graph-first deterministic IR" /> <img src="https://img.s

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数据来自 GitHub,同步时间:2026-06-17