Assemble Your Dream Team: Scaling Productivity with Agency Agents
Stop wrestling with generic prompts. Install a complete team of specialized AI experts into Claude Code, Cursor, and more instantly.
Managing AI Agents at Scale: A Deep Dive into OpenHands
Master your coding workflow with OpenHands. A self-hosted developer control center to run, automate, and manage agents like Claude Code and Gemini.
Bridging the Gap Between Human Intent and AI Execution with OpenSpec
Stop unpredictable AI coding results. Learn how OpenSpec provides a lightweight specification layer to align human and AI developers before writing code.
Unlimited OCR: Welcome the Era of One-shot Long-horizon Parsing
Discover how Baidu's Unlimited OCR uses R-SWA to solve memory explosion in end-to-end, long-horizon document parsing tasks.
The Social Emergence of Multi-Agent Collaboration – Optimising Gemma4
A week-long experiment with 100+ agents optimizing Gemma 4 revealed surprising social emergence, self-policing, and a 5x speed improvement in vLLM.
Beyond the Template: Elevate AI Frontend Design with Impeccable
Tired of repetitive, boring AI-generated UIs? Discover Impeccable: a design skill for AI agents with 23 commands to automate high-end frontend design.
Take Control of Your Intelligence: A Complete Guide to Installing Nanobot
Learn how to install and configure Nanobot, the open-source personal AI agent you can truly own. Easy setup for local and cloud LLM providers.
Giving Agents Real Power: A Guide to MCP Servers
Stop rewriting connectors for every LLM framework. Learn how Model Context Protocol (MCP) standardizes tool access and data sharing for AI agents.
Running Untrusted Code Safely: A Guide to E2B Sandboxes
Don't risk your local machine with untrusted LLM code. Use E2B cloud sandboxes to provide secure, isolated execution environments for your AI agents.
Stop Hand-Tuning Prompts: The Shift from Prompting to Programming with DSPy
Tired of brittle prompts? Learn how Stanford's DSPy framework allows you to program, optimize, and compile language model pipelines using Python.