ainativelang

by sbhooley · Python · ★ 826

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

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

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

From the README

Find Us on X: @ainativelang > AI-led co-development project, human-initiated by Steven Hooley (, , ). Attribution details: and . -- This project was named by AI :) Before the install commands, here is who AINL is and is not for. We would rather you self-select out in 60 seconds than spend a week on a tool that does not fit. | ✅ AINL is for you if… | ❌ AINL is *not* for you if… | |:----------------------|:----------------------------| | Your agents (Cursor, Claude Code, autonomous loops) **author runne…

Read full README on GitHub →

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