OpenSquilla: Token-Efficient AI Agent with Higher Intelligence Density
OpenSquilla: Token-Efficient AI Agent with Higher Intelligence Density Token-efficient AI agent design has become critical as LLM costs scale with usage, and OpenSquilla addresses this challenge head-on with a framework that delivers higher intelligence density within the same token budget....
HTML-Anything: The Agentic HTML Editor with 75 Skills and 9 Surfaces
Introduction The HTML-Anything agentic HTML editor represents a fundamental shift in how developers produce publishable content. Instead of hand-editing HTML or wrestling with Markdown-to-HTML converters that produce bland output, HTML-Anything delegates the entire design-and-render pipeline to your local AI coding...
Open Code Review: Alibaba's Hybrid LLM Code Review Tool Battle-Tested at Scale
Introduction Code review is where bugs hide – and manual reviews miss 30-60% of defects. Traditional static analysis tools produce noisy warnings that developers learn to ignore. Pure LLM reviews are slow, expensive, and prone to position drift where reported...
Headroom: Slash LLM Token Usage by 60-95% Without Losing Quality
Every token sent to an LLM costs money – and most of it is wasted on redundant context. Tool outputs spew thousands of lines of logs. RAG chunks overlap with duplicate information. Source files contain boilerplate that adds nothing to...
GPT-Image-2 API and Prompt Engineering Guide - 763+ Curated Cases
Introduction GPT-Image-2 API prompt engineering has rapidly become an essential skill for developers and creatives working with AI image generation. OpenAI’s GPT-Image-2 model represents a paradigm shift in what AI can produce: photorealistic images with accurate text rendering, consistent character...
Open Design: The Open-Source Claude Design Alternative with 261 Plugins and 2...
Introduction In April 2026, Anthropic released Claude Design – the first LLM that delivers design artifacts directly inside a chat interface. It was a watershed moment for AI-assisted design, but it came with a catch: vendor lock-in, cloud-only storage, and...
CodeGraph v2: 38K Stars Update — Token Optimization, New Platforms, and 5x Gr...
CodeGraph v2: 38K Stars Update — Token Optimization, New Platforms, and 5x Growth Two weeks ago, we covered CodeGraph when it had 7,600 stars. Today it has 38,745 — a 5x explosion driven by one insight: fewer tokens, fewer tool...
Heretic - Directional Ablation for Automatic Censorship Removal in Language M...
What is Heretic? Heretic is a fully automatic censorship removal tool for transformer-based language models. It applies directional ablation – a technique also known as “abliteration” – to strip safety alignment from LLMs without requiring any manual parameter tuning. The...
iii: The Unified Backend Engine -- Three Primitives, Zero Integration Cost
Introduction Today, building a typical backend means connecting many separate systems: an API framework for HTTP endpoints, a task queue for async processing, a cron scheduler for periodic jobs, an event bus for pub/sub messaging, a state store for shared...
herdr: The Agent Multiplexer -- Terminal Workspace Manager for AI Coding Agents
The Problem: Terminals Weren’t Built for AI Agents As AI coding agents multiply – Claude Code, Codex, Pi, Amp, Droid, Hermes, OpenCode, Grok – developers face a new kind of workspace chaos. Each agent needs its own terminal. Each terminal...
Supermemory: AI Memory Engine for Agents and Applications
AI agents have a fundamental problem: they forget everything between conversations. Every session starts from scratch, forcing users to repeat context, re-explain preferences, and re-state project details. Supermemory solves this by providing a persistent memory and context layer that works...
Serena: The IDE for Your Coding Agent -- MCP Toolkit for Symbol-Level Code In...
MCP toolkit for coding agents has evolved from simple text search and replace toward semantic code understanding, but most tools still operate at the line-number level – forcing AI agents to guess at code structure, count lines, and hope their...