Code & Development · GitHub ·12 ★

lar

Lár the Pytorch for Agents is the open-source "glass box" engine for building, debugging, and running auditable, self-correcting AI agents.

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Details

Author
snath-ai
Category
Code & Development
Platform
GitHub
Framework
openai
Language
python
Stars
12
First indexed
2026-05-15
Last active
2026-04-11
Directory sync
2026-05-15
@snath-ai

Overview

Lár the Pytorch for Agents is the open-source "glass box" engine for building, debugging, and running auditable, self-correcting AI agents.

Quick start

git

git clone https://github.com/snath-ai/lar

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What lar can do

frameworkhrapiragdebug
  • Framework — framework task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Api — api task automation.
  • Rag — Retrieves grounded context before answering.
  • Debug — debug task automation.

Frequently asked questions

What is lar?
Lár the Pytorch for Agents is the open-source "glass box" engine for building, debugging, and running auditable, self-correcting AI agents.
How do I install lar?
Use git: `git clone https://github.com/snath-ai/lar`. Full setup details on the source page linked above.
Is lar open source?
lar is published on GitHub.
What are alternatives to lar?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for lar is sourced from GitHub, published by snath-ai.

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