ACE-Step 1.5 generates commercial-quality full songs in under 2 seconds on an A100 with only 4GB VRAM ACE-Step 1.5 is an open-source music foundation model that generates commercial-quality full songs in under two seconds on an A100 and under ten seconds on an RTX 3090. Just like BitNet.cpp runs efficient AI on consumer CPUs, ACE-Step 1.5 brings music generation to local hardware with less than...
How to Build an MVP in 3 Hours with Vibe Coding Prompts
Badge Vibe Coding Prompt Template provides structured, copy-paste prompt templates that guide an idea through market research, a PRD, implementation instructions for agents, and a working MVP in under three hours. Similar to how Activepieces exposes MCP servers for agent orchestration, this repo makes product development fast, reproducible, and accessible to non-technical creators. Repository...
How to Study System Prompts from Top AI Agents
Badge system-prompts-and-models-of-ai-tools collects 20,000+ lines of prompts, tooling, and model artifacts used across real-world agents like Claude Code, Manus, Replit, Warp, and more. Similar to how Activepieces exposes MCP servers for agent orchestration, this repo surfaces system prompts, tool definitions, and model references in the open — invaluable if you want to learn how high performing...
How to Build Safer Agents with Parlant Conversation Modeling
Badge Parlant promises to stop the “roll of the dice” approach by enforcing contextual guidelines that activate based on conversation state, keeping LLMs grounded and consistent for regulated workflows. Repository snapshot and architecture overview. Parlant focuses on Conversation Modeling, where modular, natural language guidelines are matched to the current context and enforced...
How to Use PageIndex for Vectorless RAG on Complex Documents
Badge PageIndex argues that similarity is not the same as relevance, and it offers a vectorless, reasoning based approach to retrieval that builds a hierarchical page index and uses LLM-driven tree search to find the most relevant sections. The claim is bold, it reports 98.7% on FinanceBench, and the repo is worth a close look if you work with complex documents. Repository snapshot and example...
