Ready to build Auditable AI Agents

Lár (Irish for "core" or "center") is the open source standard for Deterministic, Auditable, and Air-Gap Capable AI agents.

It is a "define-by-run" framework that acts as a Flight Recorder for your agent, creating a complete audit trail for every single step.

Not a Wrapper

Lár is NOT a wrapper. It is a standalone, ground-up engine designed for reliability. It does not wrap LangChain, OpenAI Swarm, or any other library. It is pure, dependency-lite Python code optimized for "Code-as-Graph" execution.

The "Black Box" Problem

You are a developer launching a mission-critical AI agent. It works on your machine, but in production, it fails. You don't know why, where, or how much it cost. You just get a 100-line stack trace from a "magic" framework.

The "Glass Box" Solution

Lár removes the magic.

It is a simple engine that runs one node at a time, logging every single step to a forensic Flight Recorder.

This means you get: 1. Instant Debugging: See the exact node and error that caused the crash. 2. Free Auditing: A complete history of every decision and token cost, built-in by default. 3. Total Control: Build deterministic "assembly lines," not chaotic chat rooms.

"This demonstrates that for a graph without randomness or external model variability, Lár executes deterministically and produces identical state traces."

Stop guessing. Start building agents you can trust.

Author

Lár was created by Aadithya Vishnu Sajeev.

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