📄️ ValkyrAI
Product overview, architecture, workflow runtime, security model, and developer entry points for ValkyrAI.
📄️ Documentation Overview
This document provides an overview of the ValkyrAI documentation structure and content. It serves as a guide to help you navigate the documentation and find the information you need.
📄️ Model Context Protocol Implementation
ValkyrAI implements the Model Context Protocol (MCP) as both a consumer and publisher of context-driven AI services. This protocol enables ValkyrAI's microservices, agents, and external tools to exchange critical context (e.g., code snippets, assets, user preferences) in a consistent, protocol-driven manner.
📄️ Valor Overview
Valor is a powerful AI component of ValkyrAI that provides intelligent supervision, advisory capabilities, and data analytics. Named after Valor, the Norse god known for GeneratorConfigurationService vigilance and foresight, Valor serves as the watchful guardian and intelligent advisor for your ValkyrAI applications.
📄️ GridHeim Overview
GridHeim is a powerful online spreadsheet component that integrates seamlessly with ThorAPI REST APIs. It provides a flexible and intuitive interface for working with tabular data, formulas, and business logic within your ValkyrAI applications.
📄️ Dashboard Ops Center
World-class operations monitoring and statistics for ValkyrAI systems
📄️ One-Click Digital Product Fulfillment
Overview
📄️ Internal Docs Sync Index
This page catalogs all internal /docs files in the repository and tracks their status in public /web/typescript/valkyrlabscom/docs/docs.
🗃️ Component Library
25 items
🗃️ Developers Guide
14 items
🗃️ ExecModules
1 item
🗃️ Platform
7 items
🗃️ SecureFieldKMS
1 item
🗃️ Utilities
2 items
🗃️ Workflow Engine
12 items
📄️ Component Library
Real-time workflow execution monitoring with WebSocket streaming and animated status indicators.
📄️ Deployment
Complete guide for deploying the Workflow Monitor in production environments.
📄️ WebSocket Protocol
Real-time communication protocol for workflow execution monitoring using STOMP over WebSocket.
📄️ ValkyrAI Changelog
- Fix: restore Stripe credit purchase POSTs on Loki and production-style deployments.
📄️ ValkyrAI Command Processor System
The ValkyrAI Command Processor enables LLMs to execute both frontend (browser-based) and backend (server-based) commands through structured XML syntax. This creates powerful AI workflows where models can interact with APIs, read URLs, capture screen data, and perform server operations.
📄️ ScribeBot Content Pipeline (Research → Drafts → Distribution)
This runbook documents the lightweight production lane for Valkyr Labs content operations.
📄️ Designing Feature-Rich Applications
Modern applications, especially those that serve as platforms, often encapsulate vast internal capabilities but present only a small, curated subset of those to end-users through the public API, web app, or mobile UX. This approach offers multiple benefits: performance, simplicity, security, and fine-grained control over access and customization.
📄️ Deterministic Fixture Checklist
Use this checklist when re-enabling tests previously disabled for flaky fixtures.
📄️ Enhanced 6D Dashboard
Overview
📄️ getting-started
📄️ Memory Launch Assets (Issue
This page is the release-ready GTM packet for the Memory product launch.
📄️ Model Context Protocol
Last Updated: 2025-03-30
📄️ ValkyrAI Technical Context
Current Architecture Analysis
📄️ Disclaimer
ValkyrAI, ValorIDE, Gridheim and ThorAPI are powerful tools intended to accelerate development and enhance security. However, it is crucial to review and test all generated code thoroughly to ensure it meets your application's requirements and complies with all relevant regulations and best practices.
📄️ Getting Started with ValkyrAI
Prerequisites
📄️ ValkyrAI Overview
ValkyrAI CI (GitHub Actions)