Posts

MemPalace Review 2026: The Open-Source Memory System That Finally Cures AI Agent Amnesia You know the pain. You’re deep into a Claude Code session, the agent remembers your project structure, your API patterns, the reason you chose SQLite over Postgres three weeks ago. Then the context window fills up. The agent forgets. You paste a summary, it forgets again. So lather, rinse, repeat. I’ve been fighting this exact problem across Claude Code, Cursor, and Codex sessions for the past year. So when MemPalace hit 53.9k stars on GitHub with a promise of “give your AI a memory — no API key required,” I had to put it through its paces. ...

Disclosure: I may earn a commission if you sign up through links in this review — at no extra cost to you. This doesn’t affect my assessment. Full FTC disclosure. Quick take: Odysseus is a self-hosted AI workspace that packs chat, agents, email summaries, document editing, and calendar management into one Docker container. 56k stars in 6 days. Is it the real deal? Here’s what happened this week: Odysseus exploded on GitHub. 56,000 stars in six days. No marketing launch, no big-name backer — just code that solves a real pain. ...

Disclosure: I may earn a commission if you sign up through links in this review — at no extra cost to you. This doesn’t affect my assessment. Full FTC disclosure. Quick take: Sandboxed is the open-source backend that powers AI “build-in-a-browser” apps. One ./install.sh and you get isolated sandboxes, built-in coding agents, and auto preview URLs — no Kubernetes, no message queues, no SaaS dependencies. But ever wanted to spin up something like Lovable or Bolt on your own server? And not just the frontend — the actual backend that creates sandboxes, runs AI agents, and serves live preview URLs. ...

If you’re a heavy Claude Code or Cursor user, you know the feeling: one innocent “search the codebase” command and boom — 20,000 tokens gone. $0.30 per query doesn’t sound like much until you’re doing it 50 times a day. I’ve been watching my API bills creep up for months. Honestly, I was starting to wonder if AI coding agents were a luxury I couldn’t justify for side projects. So when I saw a project called Headroom trending on GitHub (+9,421 stars this week alone), I had to check it out. The pitch is simple: compress everything you send to the LLM before it gets there. Save 60–95% on tokens. Keep the same answer quality. ...

Ever Googled something and scrolled past five pages of SEO-optimized fluff before hitting a real opinion? Yeah, me too. The web is full of people saying interesting things — the problem is finding them. So when I came across last30days-skill — a skill for Claude Code / Codex that searches 13+ platforms in parallel (Reddit, X, Hacker News, YouTube, TikTok, GitHub, even Polymarket) and compresses everything into a bullet-point briefing — I had to try it. 27,600 GitHub stars, 621 commits, and a v3 that just dropped. That’s not hype. That’s momentum. ...

Honestly, the scariest part of the Mini Shai-Hulud attack? The malicious packages came with valid SLSA Build Level 3 provenance. The signature was real. The content was malware. And if you’re an AI developer who’s been trusting “verified” packages from PyPI, this one hits close to home. Here’s what I did after the news broke — and what you should do too. Quick TL;DR: On May 11, 2026, an attack group called TeamPCP pushed 373 malicious versions across 169 npm and PyPI packages — including Mistral AI’s mistralai==2.4.6. And this was the first documented supply chain attack with valid SLSA provenance. So the old verification playbook doesn’t work anymore. I’ll walk through exactly what happened and how to check your own dependencies. ...

Headroom Review 2026: Cut AI Agent Token Costs by 60-95% Without Losing Accuracy Running AI coding agents daily? You’ve probably noticed the token bills. Every tool output, every log line, every RAG chunk gets fed to the LLM — and you pay for all of it. Headroom is a context compression layer that sits between your agent and the LLM, shrinking inputs by 60-95% while preserving answer quality. Meta Description: Headroom compresses AI agent inputs by 60-95% without losing accuracy. Tested with Claude Code, Codex, Cursor, and more. Includes benchmarks, quick start guide, and honest comparison. ...

Google’s Notebook LM is pretty great on the surface. Upload a PDF, get a summary. Throw in a YouTube link, get a podcast. But here’s the thing — your data lives on Google’s servers, you’re locked into Gemini, and you can’t even access it programmatically through an API. That’s where Open Notebook comes in. And it’s an open-source, self-hosted alternative that replicates Notebook LM’s core features and then some. Still, 24,600+ GitHub stars, 739 commits, 51 contributors, and a thriving community aren’t everything. I spent a full afternoon installing it, poking around, and stress-testing it against my own research docs. Here’s what I found. ...