Artibot FAQs

Question 1

How does Artibot enhance AI agent capabilities?

Accepted Answer

Artibot utilizes a System 1/2 cognitive architecture for intelligent request routing, GRPO-based lifelong learning from session outcomes, and the Agent Teams API for advanced P2P communication and shared task management among agents, enabling true team collaboration.

Question 2

Is Artibot compatible with other LLM platforms?

Accepted Answer

Yes, while natively optimized for Claude Code and its Agent Teams API, Artibot provides cross-platform compatibility with adapters for Gemini CLI, OpenAI Codex, Antigravity, and Cursor IDE, ensuring broad utility.

Question 3

What is Artibot?

Accepted Answer

Artibot is a cognitive orchestration plugin primarily for Claude Code, designed to manage and coordinate specialized AI agents using dual-process routing, lifelong learning, and the native Agent Teams API to tackle complex development tasks efficiently.

Question 4

What is 'lifelong learning' in Artibot?

Accepted Answer

Artibot's lifelong learning is a GRPO-based system that continuously learns from past session outcomes. It automatically transfers knowledge between its System 1 and System 2 cognitive caches, improving routing accuracy and delegation over time without explicit retraining.

Question 5

What kind of complex tasks can Artibot manage?

Accepted Answer

Artibot excels at complex task management through CTO-led orchestration, featuring 27 specialized agents, 5 orchestration patterns, and 8 DAG playbooks to handle development workflows like feature implementation, bug fixes, refactoring, security audits, and marketing campaigns.

Artibot

Artibot

Key Features

Use Cases

Key Features

Use Cases