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AI Native Lang (AINL)
by sbhooley
Turn AI into a structured worker with a deterministic, graph-canonical workflow language.
0 stars
2 views
Works in:CodexGemini CLI
Exposes:ToolsResourcesPrompts
What it does
AINL transforms AI agents from conversational bots into structured workers. It uses a compile-once, run-many architecture that replaces brittle prompt loops with deterministic execution graphs, significantly reducing token costs and increasing reliability.
Tools
ainl_validate: Validates AINL source for strict graph semantics.ainl_compile: Compiles source into canonical Graph IR.ainl_run: Executes a compiled graph deterministically through adapters.ainl_ir_diff: Compares two candidate graphs for structural differences.ainl_fitness_report: Scores a graph's performance and reliability across multiple runs.
Installation
Install the MCP server via pip:
pip install 'ainativelang[mcp]'
Then add ainl-mcp to your MCP configuration:
{
"mcpServers": {
"ainl": {
"command": "ainl-mcp"
}
}
}
Supported hosts
- Claude Code
- OpenClaw
- ZeroClaw
- Hermes Agent
- Any MCP-compatible host
Quick install
pip install 'ainativelang[mcp]'Information
- Pricing
- free
- Published
- 4/20/2026
- stars
