BullFlow
Generic AI writing sounds like nobody in particular; BullFlow writes from your own company knowledge instead. It first builds a private knowledge base from your documents, images, audio, and video plus structured records for your company, brand, products, customers, and cases. Ingestion runs entirely on local open models: OCR reads scans, semantic splitting and chunking prepare text, and hybrid vector plus full-text search retrieves passages with their sources and relevance scores shown under every answer. A creation agent then works in one conversation: it searches the knowledge base, drafts articles with images embedded in the text, generates image sets or short videos, and exports finished pieces as PDF or Word. Output adapts to where it is going, long-form articles for article platforms, multi-image posts with matching copy for image feeds. A separate distribution gateway sends one finished piece to many accounts across Chinese and international social platforms, checks account health on a schedule, and returns publish results and metrics by webhook. Around all of that sits a commercial shell: multiple tenants with isolated data, roles from super admin to finance, credit billing measured per token, image, and second, subscriptions, invoices, referral commissions, and a conversion funnel in the operations backend. Scheduled rules can generate and publish on a timetable with nobody watching, and notifications report each completion or failure. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Ever Works
Ever Works transforms a single text prompt into a fully researched, written, coded, and deployed website through autonomous AI agents that operate on a configurable 15-step generation pipeline. Unlike one-shot builders, it continuously improves generated content on a schedule, keeping sites fresh without manual intervention. The platform integrates with six AI providers (OpenAI, Anthropic, Google, Groq, Mistral, Ollama) via gateways like OpenRouter and Vercel AI Gateway, while its plugin system connects ten search providers including Tavily, Brave, Exa, SerpAPI, and Perplexity for deep autonomous research. Every generation is Git-native — code and content live in your own GitHub repositories as commits, providing full version control, portability, and zero vendor lock-in. The monorepo ships a NestJS 11 REST API with JWT authentication, a Next.js 16 web dashboard for managing works, a CLI for terminal operations, an MCP server for AI agent integration, and admin tooling. Content management supports items, categories, tags, and collections, while deployment targets include Vercel and Kubernetes. Background processing runs on Trigger.dev with BullMQ scheduling, and monitoring leverages Sentry plus PostHog for error tracking and product analytics. The platform supports OAuth via GitHub and Google, subscription billing, email notifications, and AI chat conversations for natural-language interaction with your generated works. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.