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3,528 documents
Skills define _how_ tools work. This file is for _your_ specifics — the stuff that's unique to your setup.
title: "How to Search for Open Source Software and Tools: A Frontend Engineer's Practical Guide"
Complete reference guide for all available GitHub MCP (Model Context Protocol) tools with usage examples.
This guide documents the Model Context Protocol (MCP) tools required for the Context-Aware Agent system and provides usage examples for each.
Quick reference for the GitHub MCP tools for searching Algorand code examples.
I use these tools for searching across GitHub's vast repository ecosystem. They're incredibly powerful for finding code, repositories, issues, and users that match specific criteria.
> This document defines the **search primitives** — the types of things Versailles
High level overview of the codebase
<h1 align="center">Zorya Proxy</h1>
> **50 Agents | Cross-Cutting, RAG Infrastructure, Data Pipeline, Multi-Agent Orchestration, Advanced Analytics**
Comprehensive concept inventory for the AWS Certified Generative AI Developer - Professional
[← Back to Index](./00-index.md)
This document outlines the security architecture, controls, and compliance frameworks for the LLM Gateway service.
- **[Overview](#overview)** — Scope and framework
Define strategies and best practices for protecting sensitive data in logging systems while maintaining observability and compliance requirements.
**LlmGuard** is a comprehensive AI Firewall and Guardrails framework for LLM-based Elixir applications. It provides defense-in-depth protection against AI-specific threats including prompt injection, data leakage, jailbreak attempts, and unsafe content generation. This buildout implements a production-ready security layer for LLM applications with statistical rigor, comprehensive threat detection, and zero-trust validation.
1. [ETL/ELT Fundamentals](#etlelt-fundamentals)
PolyAgent is a **production-ready enterprise multi-agent AI platform** that combines industry best practices with a refined three-layer architecture optimized for reliability, security, and performance. The platform leverages **Go for orchestration** (Temporal workflows), **Python for AI intelligence** (LLM services), and **Rust for secure execution** (WASI sandbox), delivering sub-second response times with comprehensive observability.
**Duration**: 4 weeks
**Date:** March 13, 2026
In this scenario—as a **Senior Software Developer** building **AI agents** and ML infrastructure at Global Relay—the approach needs to be **practical, scalable, and production-ready**. Below is a high-level architectural and development plan tailored to the responsibilities and use cases described.
**Document Classification:** Internal
**Project Name:** KnowledgeForge AI Copilot
This file contains all completed work streams from the Financial RISE Report implementation roadmap. Work streams are moved here immediately upon completion to keep the active roadmap focused on upcoming and in-progress work.
