An extensible personal assistant server
This project is less about the personal assistant and AI part, and more about integrating a bunch of interesting Rust crates together to get something that's easily extensible. Turns out that it wasn't too bad. I think the most challenging part was figuring out how different dependencies could fit together rather than figuring out the best model or prompts. It's in a state now where it maybe takes an hour or so to add a new command by defining database migrations, adding new structs, and then adding the API endpoint definitions. However, I don't want to take this any further; I just thought…
An extensible personal assistant server launched on May 16, 2025 with 5 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
An extensible personal assistant. Contribute to theOGognf/toi development by creating an account on GitHub.
An extensible personal assistant HTTP server with a simple REPL chat client. I developed and tested this project using a single NVIDIA RTX 2080 and WSL. As such, this project and the default models provided in the Docker Compose files are intended to run on a commercially available GPU with at least 8GB of VRAM. That isn't to say this project will not work natively on Windows, with CPUs, or even with GPUs with less VRAM; I simply have not tested it with those variations. docker compose up -d You can configure runtime environment variables using a local .env file. As an example, you can change the build target and log level with an .env file with the following contents: toi_client Motivation…from github.com
In the maker’s words, at launch
This project is less about the personal assistant and AI part, and more about integrating a bunch of interesting Rust crates together to get something that's easily extensible. Turns out that it wasn't too bad. I think the most challenging part was figuring out how different dependencies could fit together rather…
Does a similar job
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I didn't want to buy a standalone computer or repurpose a laptop to run constantly so I could maintain a system to sync my LLMs, so I built this. It's a simple overview of my system, laid out in a way easy to unpack and replicate for yourself. The project is meant to be configured individually, and uniquely, since one solution might not be what's best for another. If anything, maybe it gives you some ideas on how to implement things for your own project. Best wishes, Ryan.
PAIJul 2026 · whitematterlabs.ai · ▲9Hi HN! I've been spending the past month on PAI, a Linux-esque harness for a personal assistant AI for your Mac. Instead of giving a chatbot a bunch of tools, I wanted to just drop the LLM into a terminal and see how it'd fare. I've been using it to manage my calendar, 5+ email accounts, and engaging with / responding to people in a timely manner (casus belli for this entire project). After seeing how other always-on assistants were designed, I thought the Unix / Linux philosophy of system design could be applied to AI harnesses, and I wanted to experiment with how it'd hold up…
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I was somewhat hesitant about sharing this personal projects, especially since I just saw that cool looking Werk[1] tool posted, but I figured that my ADHD-fueled creation might still have it's own place to be. I just finished rewriting the code for a personal tool I use to automate terminal tasks while minimizing the amount of Python/Bash code I have to write. As with all other tools I create for my own use, the guiding principle is simplicity and approachability, as if the tool creates more issues or friction than it solves, I'll get discouraged from using it again. [1]:…
I "built" Sana, a vector DB on object storageJun 2026 · github.com · ▲5Disclaimer it is a heavily AI assisted project. The goal was not to be the most performative but the kind that's easier to learn from. I wanted to share this in case there are people who had the same idea or wanted to see something like this.
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Imagine you have to make a little change in all your microservices, like changing a line in Dockerfile, but you have 50 microservices, ouch right! The PRs, pipelines, reviews... I have created a dashboard with a chatbot where you can simply ask "Update all repositories with alpine base image version X to Y", and then click next a bunch of time and see a list of PRs with their pipeline status. Hi friends I'm Daniel, the creator of Infra as AI. I was laid off from my SRE role a couple of months ago, and decided to build something that could always help me at work. My job was to keep the lights…
Open-source AI assistant for interview reasoningFeb 2026 · github.com · ▲5I built an open source desktop AI assistant after getting frustrated with how brittle most tools feel once questions go beyond basic Q and A. The goal was to explore whether an assistant could reliably handle interview style interactions such as system design discussions, multi step coding problems, and deeper follow up questioning without hiding behavior behind a closed SaaS. The assistant supports both cloud and local LLMs, uses a bring your own API key model, and is intentionally opinionated so behavior stays predictable under pressure. Most of the work went into managing context, follow…
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