ainativelang

by sbhooley · Python · ★ 78

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)

#agent-orchestration#ai-agents#ai-native-language#ainl#claude-code#compiler#deterministic-execution#domain-specific-language#dsl#graph-ir#langchain-alternative#llm-orchestration#mcp#model-context-protocol#multi-agent#openai#openclaw#prompt-engineering#python#workflow-engine

Install

pip install git+https://github.com/sbhooley/ainativelang.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "ainativelang": {
      "command": "uvx",
      "args": [
        "git+https://github.com/sbhooley/ainativelang.git"
      ]
    }
  }
}

From the README

> AI-led co-development project, human-initiated by Steven Hooley (, , ). Attribution details: and . **Already have an AI agent? Add AINL in one command.** AINL installs directly into OpenClaw, ZeroClaw, Hermes, Claude Code, and any MCP-compatible agent. After install your agent gets deterministic, reusable workflows — and you get real token savings immediately. | Your agent | Install command | How-to guide | |:-----------|:----------------|:-------------| | **OpenClaw** | | [ainativelang.com/install](https://ainativelang.com/install) | | **ZeroClaw** | | [ainativelang.com/install](https…

Read full README on GitHub →

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