Gravitas Core FAQs

Question 1

How does Gravitas Core enable autonomous AI agents?

Accepted Answer

It leverages a deterministic task state machine (PLANNING → CODING → EXECUTING → VERIFYING) with persistent memory, self-verification, retry policies, and rollback mechanisms to autonomously guide AI agents through complex software development workflows.

Question 2

What are the installation requirements for Gravitas Core?

Accepted Answer

Gravitas Core requires Python 3.10+ and UV (Astral) for installation and running. It can be run directly from GitHub with `uvx` or installed via PyPI. For browser automation, it utilizes existing Chrome or Edge installations, minimizing setup.

Question 3

What core capabilities does Gravitas Core offer AI agents?

Accepted Answer

Gravitas Core equips AI agents with an integrated terminal engine for isolated shell execution, a Playwright-based browser automation engine for navigation and UI interaction, and recursive project intelligence for informed decision-making within project contexts.

Question 4

What is Gravitas Core?

Accepted Answer

Gravitas Core is a Python-native autonomous AI control plane and Model Context Protocol (MCP) server. It transforms stateless AI models into persistent, self-verifying software engineers by providing advanced state management, memory, and environmental interaction.

Question 5

How does Gravitas Core manage memory and state for AI agents?

Accepted Answer

It features robust persistent memory, including an SQLite-backed task ledger, context snapshots, canonical state, and failure memory. This ensures agents maintain context, learn from past interactions, and recover gracefully from failures.

Gravitas Core

Gravitas Core

Key Features

Use Cases

Key Features

Use Cases