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248 documents available
PolyAgent: Production-Grade Agentic Platform Architecture
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.
RFC-053: Schematized Topic-Based Microservice Pipelines
title: "RFC-053: Schematized Topic-Based Microservice Pipelines"
System Architecture
Sentinel Log AI is a polyglot log intelligence system that combines Go's performance for log ingestion with Python's ML/AI ecosystem for intelligent analysis.
Konflux DevLake MCP Server - Architecture Documentation
The Konflux DevLake MCP Server is a production-ready Model Context Protocol (MCP) server that provides **intelligent natural language to SQL query transformation** capabilities for Konflux DevLake databases. It serves as a bridge between AI assistants and DevLake data, enabling users to ask questions in plain language and receive structured data results.
🚀 Domain-First Autonomous Data Architecture
**Revolutionary Solution for GenAI Data Problems**
MetaAST-Enhanced Retrieval
MetaAST-enhanced retrieval leverages semantic metadata from the Metastatic analyzer to improve code search accuracy and relevance. This system combines:
PatchPlay: Turn GitHub PRs into Videos
**Status:** Ready for implementation
Dev Day Autopilot — Implementation Plan
**Dev Day Autopilot** is an Accomplish automation that runs every morning and organizes your entire developer life in under 2 minutes. It chains together **all 4 Accomplish capabilities** (file management, browser automation, document creation, custom skills) into one seamless workflow.
Synthesise AI Integration Documentation
This document provides a comprehensive guide to the Synthesise AI integration within the AFFILIFY platform, detailing the architecture, API endpoints, data models, and implementation guidelines.
Contentful Architecture Overview
Contentful is a distributed video generation pipeline built with a microservices architecture. The system transforms text topics into fully-rendered videos through a series of AI-powered stages.
Zero-Touch Training — Developer Summary
**Repo:** [github.com/parkercombes/zero-touch-training](https://github.com/parkercombes/zero-touch-training)
AI Video Generator — Comprehensive Implementation Plan
Build a Next.js web application that generates fully composed, AI-powered videos from a single text prompt. The user provides a topic, and the system generates a scene-by-scene video with AI-generated clips, visual assets, background music, text overlays, and captions — exported as a final MP4.
Video Scripts for All Milestones - ROS2 MuJoCo Robotics Project
**Course:** MCTR911 - Robotics Programming
Qwen Image and Edit: Open-sourcing and Local GGUF Generations with Lightning
Daniel Sandner, for article on https://sandner.art/
FacelessForge - AI Content Generator Overview
FacelessForge is a SaaS platform for automated AI-powered video content generation. It enables users to create faceless videos for social media platforms (primarily TikTok) by orchestrating multiple AI services for script generation, voice synthesis, video clip creation, and final assembly.
PersonaAI Ultimate MVP Model 🚀
- Simple step-by-step onboarding wizard
SEO Bot Product Plan
Build an AI-powered SEO automation platform that helps founders and marketers automate their SEO workflow, from keyword research to content generation and publishing. The product operates on autopilot, requiring minimal user intervention while delivering high-quality, SEO-optimized content.
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This guide covers the SEO implementation for AskDoGood.com to maximize search engine visibility, improve Google Analytics scores, and support grant applications.
Design Document: AI Creator Copilot
The AI Creator Copilot is a comprehensive content creation and optimization platform built using a microservices architecture. The system leverages AI and machine learning to provide content creators with intelligent recommendations, quality scoring, and multi-platform optimization capabilities. The platform follows modern scalable design patterns with event-driven architecture for real-time processing and independent service scaling.
System Architecture
This is a serverless video automation system built on AWS that generates AI video content and publishes it to YouTube on a schedule.
Marketing Crew Wiki
Welcome to the comprehensive wiki for the Marketing Crew project! This document serves as your complete guide to understanding, configuring, and extending the AI-powered marketing automation system.
Scheduler Documentation
The Scheduler system automates the complete content creation and publishing workflow for faceless YouTube videos. It orchestrates script generation, video assembly, and YouTube uploads on a flexible schedule.
Product Requirements Document: Company Blog
* **PRD ID:** PRD-BLOG-001
MCP Code Execution - Integration Guide
**Status**: ✅ Architecture Implemented (Commit 2146731c)