Every AI-agent ecosystem has the same bottleneck: your skills, MCP servers, and connected services live locked inside whichever agent you happened to open. Switch from Codex to Cursor and you start over. OpenWork wants to be the layer that travels with you. It’s an open-source desktop app — an alternative to Claude Cowork — but the part that got me is the MCP server, because that works in the agents you already have. ...
Ever had a Claude Code session debug a gnarly JWT rotation bug, then three weeks later watch your new Codex agent wrestle the same issue from scratch? Yeah, me too. So I run three coding agents across eight projects. That’s months of conversation logs — design decisions, debugging rabbit holes, configuration gotchas. All sitting on my disk in format-specific JSONL files I couldn’t search. Honestly, every new agent session felt like I was hiring a dev who’d never seen the codebase. The short version: Deja-vu is a single Go binary that reads every session log Claude Code, Codex, opencode, aider, Gemini CLI, Cursor, Antigravity, and Grok Build ever wrote — and gives you instant search plus MCP recall over the whole thing. But no database, no daemon, no service to run. Yet it works retroactively on months of logs from before you installed it. So I’ve been running it for a week. Now here’s what I found. ...
Ever asked Claude Code to build a landing page and got the same purple-to-pink gradient hero, the same centred-everything layout, the same icon-tile feature cards with a fake Trustpilot rating underneath? Yeah, me too. Every LLM has a default design vocabulary. It’s aggressively boring. But Hallmark — a design skill by Nutlope (the same person behind screenshot-to-code, now under Together AI) — refuses to ship that. It sits inside Claude Code, Cursor, and Codex with 57 slop-test gates, a pre-emit self-critique, and twenty design themes that genuinely look different from each other. 11,568 GitHub stars and 3,372 stars in a single day says the community agrees this is a real problem. ...
You use Claude Code every day. But what happens when you need it running on your VPS while you’re on the train? Or when you want three agent sessions going at once—one refactoring, another writing tests, a third exploring a new codebase? I hit this wall last week. I had a long-running session on my workstation. Then I had to leave. And I couldn’t check in from my phone, couldn’t SSH in to see if it finished, couldn’t do anything except wait. So when I found lfg—a web UI control plane for AI coding agents—I spun up a $6 DigitalOcean Droplet and installed it immediately. Here’s what happened. ...
Ever had three AI coding agents installed — Claude Code for backend, Codex for prototyping, Cursor for frontend — and realized they each have their own configs, skills, memory, and security posture? You’re not running three tools. You’re managing three separate operating systems, and none of them talk to each other. But that’s the gap ECC fills. And with its v2.0.0 release eight days ago — rebranding from “Everything Claude Code” to ECC: The Agent Harness OS — it’s no longer just a Claude Code setup pack. It’s a universal layer that standardizes skills, security, memory, and workflow across every major AI coding harness. ...
Ever sent your AI agent on a multi-session mission and come back to find it forgot what it was doing? Yeah, been there. But long-running agent work is great only until your assistant loses the plot somewhere around session three. So you explain the project context again, re-establish the goal, and hope it doesn’t drift off into some unrelated tangent halfway through. That’s exactly the problem COMPASS Skills aims to fix — and honestly, it’s the first tool I’ve seen that treats this as a first-class problem. And 204 stars in 2 days on GitHub says I’m not the only one who felt this pain. ...
Every AI agent article I’ve read this month is about the same thing: writing code, running tests, deploying infra. Engineering stuff. Useful, sure. But the creative side? Dead quiet. And that’s what grabbed me about Pixel2Motion. So when I saw nolangz/pixel2motion pop up with 359 stars in under 24 hours — a skill that turns static logos into smooth SVG animations through Claude Code or Codex — I had to try it. ...
You’ve been using Claude Code, Codex, Cursor, and maybe half a dozen other AI coding agents. Each one leaves session files scattered across your machine. Your monthly API bill shows a lump sum you can’t break down by agent. And when someone asks “how many tokens did last week’s refactor cost?”, you shrug. Yeah, me too. And that’s exactly the problem AgentsView solves. I spent a full afternoon digging into this one — reading the docs, tracing the codebase, and mapping out exactly what it can do. Still, it was worth every minute. Here’s what I found. ...
Ever asked your AI coding agent to simplify something and watched it add three more dependencies instead? Yeah, me too. That’s exactly why ponytail exists — a YAGNI plugin that puts a “stop and think” ladder inside Claude Code, Codex, Cursor, and practically every other AI coding agent out there. 916 GitHub stars in its first 24 hours. Not bad for a tool whose entire philosophy is “write less code.” ...