Documentation

Master Gridable.ai

Everything you need to build, deploy, and scale agentic systems on Gridable.ai.

Introduction

Gridable.ai is an AI-native operating system for work. It provides an infinite canvas where you can arrange widgets — chat, automation, browser, voice, and data — and have AI agents help you operate them. Unlike traditional tools, Gridable.ai is built from the ground up to be orchestrated by intelligence, not just operated by humans.

Quickstart Guide

Get up and running in minutes. (1) Sign in with your favorite provider. (2) Create your first workspace. (3) Deploy a 'Coder' or 'Planner' agent from the marketplace. (4) Start orchestrating your tasks on the canvas.

Core Concepts

Everything in Gridable.ai revolves around the Workspace and the Canvas. The Canvas is your infinite visual space where Widgets (functional units) reside. Agents are the autonomous or semi-autonomous intelligences that live in your workspace and can interact with widgets to perform work on your behalf.

Architecture Overview

Gridable.ai uses a distributed signal architecture. Every action, data update, or agent thought is a 'signal' that propagates through the system. This allows for sub-millisecond response times and complex multi-agent handoffs without the overhead of traditional state management.

Agent Configuration

Agents can be configured with specific 'capabilities' — tools they can use, models they use for reasoning (Anthropic, OpenAI, etc.), and memory parameters. You can tune their 'autonomy level' from supervised to fully autonomous.

Prompt Engineering

While Gridable.ai agents are smart out of the box, you can provide 'System Instructions' to define their personality, goals, and constraints. We support advanced techniques like few-shot prompting and chain-of-thought out of the box.

Memory Systems

Agents have three levels of memory: (1) Contextual (active conversation), (2) Short-term (active session/task), and (3) Long-term (persistent knowledge base). This allows agents to learn and remember your preferences over time.

Tool Integration

Agents can use MCP (Model Context Protocol) to connect to your local files, databases, and external APIs. You can also build custom tool definitions directly in the workspace.

Visual Workflow Builder

The Gridable.ai Studio includes a visual nodes-and-wires editor. You can design complex pipelines where data flows between agents, widgets, and external systems. Triggers can be manual, scheduled, or webhook-based.

Automation Triggers

Automate your life with versatile triggers. Listen for incoming emails, webhooks from GitHub/Linear, or schedule tasks to run at specific intervals. Agents can also trigger other agents based on complex conditional logic.

Data Transformation

Clean, filter, and transform data as it moves through your workspace. Use built-in nodes for JSON parsing, string manipulation, or have an agent write a custom script to handle edge cases.

Error Handling

Built-in resilience. If an agent fails a task, the system can automatically retry, escalate to a human, or trigger a fallback 'Reviewer' agent to diagnose the issue.

Need more help?

Join our community or reach out to our support team.