quackd: One CLI For All Your Robots - Inside rokbenko/quackd
Every robot you can buy today already knows how to move. A walking duck balances itself with an onboard policy, a desktop arm picks with a learned skill, a wheeled base drives - and none of it needs an AI...
geo-score: An Open Rubric For Whether AI Answer Engines Can Cite Your Site - ...
A strange kind of invisibility has arrived for websites: your pages can rank well on Google and still never be quoted by ChatGPT, Perplexity, Gemini, or Copilot, because answer engines do not rank results — they retrieve passages, decide which...
Chat On Steroids: Turning ChatGPT Into A Local Coding Agent Over MCP - Inside...
ChatGPT can write impressive code in its chat window, but the code never touches your machine unless you copy it there yourself. Codex-style agentic coding fixed that for people with the right subscription and CLI, and it left an obvious...
The Best Mac Studio for Local AI in 2026: How Big an LLM It Can Run, at What ...
If the Mac mini is the entry point to local AI, the Mac Studio is where the ceiling disappears. In August 2026 Apple refreshed the Studio with the Mac Studio M5 Max and the Mac Studio M5 Ultra — the...
The Best DGX Spark for Local AI in 2026: LLM Speed, Model Sizes, and Clusters...
In our Mac mini deep research and the Mac Studio follow-up we followed Apple Silicon through the local-LLM stack. NVIDIA answers with a completely different machine: the DGX Spark, a desk-sized box built around the GB10 Grace Blackwell Superchip with...
The Best AMD Ryzen for Local AI in 2026: LLM Speed, Model Sizes, and Clusters...
If you have been following our local-AI hardware series - the Mac mini deep dive, the Mac Studio deep dive, and the NVIDIA DGX Spark deep dive - this is the fourth and most price-aggressive chapter. AMD’s Ryzen AI Max...
Anything2Explainer: A Skill That Turns Any Topic Into A Coded Explainer Video...
Explainer videos are the most demanded and most dreaded artifact in technical communication. The visual style is well understood — dark canvas, clean line graphics, a narrator walking through the idea — but producing one means storyboarding, animating, recording, timing...
AIHOT: A Self-Running News Site Framework You Can Respawn For Your Own Indust...
Every industry has its own version of the same problem: the signal is scattered across RSS feeds, official accounts, JSON APIs, and social posts, and someone has to read all of it before breakfast to decide what actually matters. The...
ZCode: Z.ai's Open-Source Coding Agent Harness, From Turn Loop to Tool Dispat...
Most coding agents you can open up are a chat loop with a handful of tools bolted to its side. The interesting ones are the projects that treat the harness — the machinery that turns a model stream into safe,...
x64dbg-mcp: An MCP Server Embedded Inside the Debugger - Inside duty1g/x64dbg...
Most “AI controls a debugger” demos you see are glue: a Python script shelling out to a command line, polling text output, hoping nothing desynchronizes. duty1g/x64dbg-mcp-server takes a fundamentally different route — it is a plugin, written in Zig, that...
shadcn-lint: Design System Rules Agents Can Verify - Inside shadcn-ui/lint
Design systems rarely die in a dramatic rewrite. They erode one className at a time: a page adds p-4 to a Button because the size prop felt inconvenient, another hardcodes bg-pink-500, a third reaches for an arbitrary value like p-[13px],...
session-knowledge: Turning Claude Code History Into a Searchable Knowledge Ba...
If you have used Claude Code for more than a few weeks, you have felt the gap. Every session you have ever run is already on disk, under ~/.claude/projects/**/*.jsonl — every decision, every command that worked, every connection string you...
Reverify: Deterministic Grounding for AI Claims - Inside 2akouwu/reverify
Language models are fluent explainers and unreliable witnesses. Ask one to read a binary, audit a refactor, or describe a function it cannot see, and it will happily produce offsets, struct fields, and API names that simply do not exist...
OrcaReplay: Time Travel for AI Agents - Inside Continuum-AI-Corp/OrcaReplay
Your coding agent just deleted a file, “fixed” a test that is still failing, and exited 0. What do you do at that point? Today the honest answer is archaeology: scroll a terminal transcript, re-run and get a different failure,...
OpenChatX MCP: Turn ChatGPT into a Local Agent Runtime - Inside XiaoPuOuO/ope...
ChatGPT has become a remarkably capable planner, but for most of its life it has been a planner locked inside a browser tab. It can describe how to refactor your repository or run your test suite; it just cannot touch...
OpenBot: AI Coworkers With Their Own Computer - Inside CopilotKit/OpenBot
Most agent demos stop at the moment that matters: the model calls a tool, and the demo asks you to trust it. OpenBot, built by the CopilotKit team, is built around the opposite posture. Each AI coworker it hosts gets...
Open SEO MCP Skills: Free SEO Server + GEO Skills for Claude - Inside Ryze-AI...
Ask an “open-source SEO tool” where its numbers come from and the answer is usually the same: a paid SERP API behind the scenes, with the free part being little more than a dashboard on top. Ryze-AI-Adgent/open-seo-mcp-skills takes a different...
okf-agent-memory: Git-Native Persistent Memory for AI Agents - Inside okf-mem...
Every developer who has worked with an AI coding agent has felt the same frustration: the session ends, and the architectural decisions, domain discoveries, and hard-won operational facts evaporate with it. The common workarounds both fail in interesting ways. Stuffing...
NeoHorse: Recursive Self-Improvement via Agentic Post-Training - Inside Token...
Most agent models are trained once and then frozen, left to drift through whatever tool loops developers wrap around them. NeoHorse takes the opposite bet: the model itself sits inside a measurement loop, where a routing harness assigns tasks across...
NanoJev: A Nano Replica of Jev With Parallel Decisions and a Full Training Pi...
Most language-model agents decide by talking: they generate reasoning, then an answer token by token, then parse the text back into an action. NanoJev, a nano replica of the Jev decision model from TypeSafe, takes the opposite road. A state...
Magpie: Every Agent's Model, One Menu Bar - Inside yetone/magpie
Every coding agent ships with an opinion about who should serve its intelligence. Claude Code speaks the Anthropic Messages API and wants Anthropic keys, Codex wants OpenAI, Gemini CLI wants Google, and each one keeps its preference in a different...
ksor: One Governed Knowledge Record for Humans and AI Agents - Inside panaver...
Ask two AI agents in the same company a policy question and you can get two different answers — not because the models are weak, but because nobody ever defined which knowledge wins. The answers get assembled from an old...
Kev: Trainable Decision Models on Qwen - Inside jaredpalmer/kev
Ask a large language model a yes/no question and you get prose you have to parse. Ask it for a probability and you get a number that may not mean anything. Kev, by Jared Palmer, takes a different route: it...
Jev Review: Continuous Quality Review MCP Plugin - Inside NiazMorshed2007/jev...
AI coding agents are now good at producing code quickly, but the feedback they get back is usually binary: tests pass or they do not, the build compiles or it does not. What is missing is a cheap, structured signal...