If you’ve been building anything with coding agents lately, you know the pain: where do you actually *run* the code they generate? Letting an AI execute arbitrary commands on your machine is a terrible idea, and spinning up your own sandboxing solution is a weekend project that turns into a month-long headache. That’s where [Alibaba’s… Continue reading

There’s something deeply satisfying about a project that looks at a complicated problem and just… refuses to overcomplicate the solution. [Omni](https://github.com/getomnico/omni) is an open-source workplace AI search and chat platform — think Glean, but self-hosted and free — and its boldest design choice is doing *everything* with Postgres. No Elasticsearch cluster to babysit. No standalone… Continue reading

If you’ve ever wrestled with serving a good old XGBoost or LightGBM model in production, you know the pain. You train this tiny, efficient tree model, and then you end up wrapping it in a bloated Python service with Flask or FastAPI, babysitting dependencies, and watching your inference latency balloon way beyond what the model… Continue reading

If you’ve ever spent an afternoon downloading a 70B model only to watch your laptop crawl to a halt, you already know why [llmfit](https://github.com/AlexsJones/llmfit) exists. It’s a Rust-built terminal tool that scans your hardware — RAM, CPU, GPU, VRAM, the whole deal — and tells you which LLM models will actually run well on your… Continue reading

There’s something deeply satisfying about seeing a project that goes against every trend in modern software. While most AI assistants ship as multi-gigabyte Electron apps or Python monoliths that chew through RAM like it’s nothing, [NullClaw](https://github.com/nullclaw/nullclaw) just showed up with a 678KB static binary and said “hold my beer.” Written entirely in Zig — yes,… Continue reading

There’s a question floating around dev circles that nobody has a clean answer to yet: when AI writes your code, should there be a record of that conversation baked into the commit? [Memento](https://github.com/mandel-macaque/memento), a new Git extension by Manuel de la Pena, takes a strong stance — yes, absolutely, and here’s how. The idea is… Continue reading

There’s something deeply satisfying about running an AI model on your phone with zero internet connection. No API calls, no cloud latency, no wondering what happens to your data. That’s exactly what [Google AI Edge Gallery](https://developers.googleblog.com/on-device-function-calling-in-google-ai-edge-gallery/) delivers, and the latest update makes it way more interesting than a simple on-device chatbot. The app landed on… Continue reading

Here’s a question that’s been bugging me lately: if someone asks ChatGPT “what’s the best tool for X” and your product doesn’t show up, would you even know? Probably not. And that’s exactly the problem [Geostorm.ai](https://github.com/geostorm-ai/geostorm) is trying to solve. Geostorm is an open-source monitoring tool that periodically queries major AI models — GPT, Claude,… Continue reading

There’s a new open-source project making serious noise in the agent space, and honestly, it deserves the attention. [OpenFang](https://github.com/RightNow-AI/openfang) launched on February 24th and racked up over 7,000 GitHub stars in under a week. By March 1st, it was sitting at [#2 on Trendshift](https://trendshift.io/) and pulling [143 upvotes on Product Hunt](https://www.producthunt.com/) on the same day.… Continue reading

Anthropic just made it embarrassingly easy to leave ChatGPT behind. On March 1st, they quietly dropped [Claude Import Memory](https://claude.com/import-memory), a feature that lets you transfer all those personalized memories your current AI has built up about you — your name, your job, your coding preferences, the way you like your responses structured — straight into… Continue reading