ainativelang

sbhooley/ainativelang
★ 199 stars Python 🤖 AI/LLM Updated 1d ago
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)
View on GitHub →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "ainativelang": {
      "command": "uvx",
      "args": [
        "ainativelang"
      ]
    }
  }
}

Or install with pip: pip install ainativelang

README Excerpt

<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">

Tools (2)

ainltools

Topics

agent-orchestrationai-agentsai-native-languageainlclaude-codecompilerdeterministic-executiondomain-specific-languagedslgraph-irlangchain-alternativellm-orchestrationmcpmodel-context-protocolmulti-agent