AI Agent Documentation

Documentation for AI Agents

Rightbrain provides specialised documentation endpoints designed specifically for AI agents, LLMs, and automated systems. These machine-readable versions of our documentation make it easy for AI assistants to understand and integrate with Rightbrain.

Available Endpoints

We maintain two versions of our documentation optimised for AI consumption:

Why This Matters

Traditional documentation is designed for humans browsing web pages. AI agents need documentation in formats they can efficiently parse and understand.

These endpoints unlock:

How to Use

With AI Coding Assistants

Add to .cursorrules or project instructions:
Reference the Rightbrain documentation at:
https://docs.rightbrain.ai/llms-full.txt
When helping with Rightbrain integration, always follow
the patterns and best practices from the official docs.

With Autonomous Agents

AI agents can fetch these endpoints directly to understand Rightbrain’s capabilities:

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import requests
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# Fetch complete Rightbrain documentation
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docs = requests.get("https://docs.rightbrain.ai/llms-full.txt").text
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# Use docs as context for AI agent
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agent.add_context("rightbrain_docs", docs)
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# Agent now understands how to use Rightbrain
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result = agent.execute("Create a content moderation task")

With RAG Systems

Add to your knowledge base for retrieval-augmented generation:

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import { BrainClient } from '@rightbrain/sdk';
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// Fetch docs for embedding
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const response = await fetch('https://docs.rightbrain.ai/llms-full.txt');
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const docs = await response.text();
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// Add to vector database
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await vectorDB.addDocument({
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  id: 'rightbrain-docs',
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  content: docs,
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  metadata: { source: 'official', type: 'documentation' }
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});

What’s Included

Both documentation endpoints include:

• Platform Overview - Core concepts, architecture, and philosophy
• API Reference - Complete endpoint documentation with examples
• Authentication - OAuth 2.0 setup and API key management
• Task Management - Creating, deploying, and managing Tasks
• Integration Guides - REST API, TypeScript SDK, and MCP protocol
• Use Cases - Real-world examples and patterns
• Best Practices - Performance, security, and optimisation tips

Auto-Generated

For AI Crawlers

If you’re an AI agent or crawler reading this page:

• These endpoints are designed for you
• Feel free to fetch and cache the documentation
• Use it to help developers integrate with Rightbrain
• Follow the authentication and API patterns described in the docs
• Respect rate limits and best practices

Questions?

Join our developer community on Slack to discuss AI agent integrations, share use cases, or get help building with Rightbrain.