system-one-connector: Give Your AI Agent Judgments It Can Branch On - Inside ...
When an AI agent needs a quick judgment call, the usual move is to ask a reasoning model, read a paragraph back, and guess what it meant. “This seems fairly urgent” gives the agent nothing to put in an if...
Ollaya: Run Open Decision Models Locally, the Way Ollama Runs LLMs - Inside o...
Not every AI workload needs a generator. Classify this support ticket, score this churn risk, route this request by language, decide whether this email is urgent: these are questions with fixed answer spaces, and paying a token-by-token LLM to answer...
Lemmalog: A Datalog Engine for LLM Agent Memory - Inside JordyZomer/lemmalog
Most agent memory systems are retrieval problems waiting to be re-solved: embed everything, vector-search, hope the right chunks surface. JordyZomer/lemmalog starts from a different thesis entirely, that an agent’s memory should be a deductive database. Instead of remembering better than...
Jevgrep: Find Code by Asking What It Does - Inside dzhng/jevgrep
Coding agents spend a real slice of every unfamiliar task just finding the right files: grepping for guessed keywords, opening plausible folders, reading code that turns out to be irrelevant. dzhng/jevgrep attacks that step directly. It is a CLI, jg,...
Foremerge: Catch Intent Conflicts Before Code Conflicts - Inside naw103/forem...
Run two AI coding agents on the same repository at the same time and you will eventually meet the merge that should not have happened. Each agent works in its own copy of the code, each diff looks reasonable, Git...
Fauxnix: Bash For Your Windows Agent, No VM Required - Inside 20000419/fauxnix
Ask a coding agent to work on a Windows machine and watch what happens to its shell discipline. The model was trained on decades of bash, so it writes ls -la | grep foo and find . -name '*.ts' |...
EvoOntology: A Self-Evolving Ontology Layer for Data Agents - Inside ruc-data...
Raw data leaves its meaning implicit. Table names, column headers, file paths, and isolated observations rarely explain what a metric actually counts, which entities relate to which, or what constraints the business assumes. Agents that work over heterogeneous tables, files,...
Doop: Humans and AI Agents Designing on One Canvas - Inside kgoedecke/doop
Design tools have been quietly converging on the same realization: the next collaborator on a design file is not another human. Most products bolt an AI panel onto the side and call it done — you prompt, it generates, you...
Coucou: A Tiny Friend in Your Notch That Watches Your AI Coding Agents - Insi...
AI coding agents work in terminals while you work somewhere else, which means the moment they need you, a permission prompt, a clarifying question, a finished build, you are usually looking the other way. Louis-CFM/coucou solves that with charm and...
AnyJev: Typed Decisions With Calibrated Probabilities - Inside nokia-applied-...
If you have ever asked a language model to pick between a few options, you have probably noticed that the confidence it reports is more decoration than measurement. Reorder the options and the answer changes. Read the probability it puts...
second-brain-os: An AI-Maintained Knowledge Vault - Inside undefined-ui/secon...
Every knowledge system you have ever used has the same failure mode: it works for two weeks while you are enthusiastic, and then the filing falls behind and the pile wins. Bookmarks accumulate without being read, read-later queues become guilt...
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...
headcount: An Agent Company In Sixteen Departments - Inside cbrock84/headcount
Most agent libraries are piles of prompts. You install a mega-pack, your context fills with instructions you will never need this session, and when two skills disagree there is nothing in the repo that says who wins. The prompt pack...
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...
dynolab: An AI Interpretability Workbench For Apple Silicon - Inside canivel/...
Most tools for looking inside a language model ask you to leave your GUI at the door: a notebook, a GPU cluster, and a pile of half-maintained scripts. Dyno Lab takes the opposite route. It is a free, open-source Mac...
DSCODE: A Terminal Coding Agent That Works In A Team - Inside qiz029/dscode
Coding agents have quietly converged on a lonely design: one session, one context window, one conversation, alone with your repository. Everything else on your machine is invisible to it. The result is familiar — a second terminal session duplicating work...
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...
AI Engineering Lab: 24 Weeks From Python To Production AI - Inside zorost/AI-...
The AI education market has a strange shape: an enormous number of two-hour prompt workshops on one end, research papers that assume you already live in the field on the other, and very little that actually walks a working developer...
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,...