AutoAgent is an autonomous framework designed for agent engineering, functioning similarly to autoresearch but focused on building and iterating on agent harnesses. The system allows a user to assign a task to an AI agent, which then autonomously modifies system prompts, tools, agent configurations, and orchestration over time. By running benchmarks and checking scores, the meta-agent performs a hill-climbing optimization, keeping improvements and discarding failures. The core workflow involves programming via a Markdown file called program.md, which provides context and directives to the meta-agent, while the meta-agent directly edits the agent.py harness file. This approach minimizes manual engineering by allowing the agent to optimize its own performance through continuous, automated experimentation.
Project N.O.M.A.D. is a self-contained, offline-first knowledge and education server designed to provide critical tools, knowledge, and AI capabilities regardless of internet connectivity. It's installable on Debian-based systems and accessible through a browser interface. The project includes features like an AI chat powered by Ollama, an offline information library via Kiwix, an education platform using Khan Academy and Kolibri, and data tools like CyberChef.
It aims to be a comprehensive resource for learning, data analysis, and offline access to vital information.
It aims to be a comprehensive resource for learning, data analysis, and offline access to vital information.
This article discusses the author's experience setting up reverse proxies for self-hosted services, finding the process surprisingly straightforward despite extensive and often overwhelming documentation. It compares several popular options like Nginx, Traefik, Caddy, Envoy, SWAG, and HAProxy, ultimately recommending Caddy for its simplicity and features. It also touches on the relative ease of reverse proxy setup compared to configuring the services they front.
A user is experiencing slow performance with Qwen3-Coder-Next on their local system despite having a capable setup. They are using a tensor-split configuration with two GPUs (RTX 5060 Ti and RTX 3060) and are seeing speeds between 2-15 tokens/second, with high swap usage. The post details their hardware, parameters used, and seeks advice on troubleshooting the issue.
HookCats is a self-hosted webhook routing server that acts as the central hub between your infrastructure and your team chat. It receives webhooks from any supported source, formats the messages nicely, and delivers them to your preferred chat platform.
A guide on running OpenClaw (aka Clawdbot aka Moltbot) in a Docker container, including setup, configuration, and accessing the web UI.
This article details how to combine Clawdbot with Docker Model Runner (DMR) to build a privacy-focused, high-performance personal AI assistant with full control over data and costs. It covers configuration, benefits, recommended models, and how to get involved in the ecosystem.
This project guides you from data inspection and preprocessing to crafting an end-to-end application for aircraft localization based on crowdsourced air traffic control communication data (ADS-B). It utilizes Apache Spark, Modin, ensemble methods, TabNet, Apache Kafka, Flask, and Leaflet.js.
ADSB-Ultrafeeder is an all-in-one ADSB container with readsb, tar1090, graphs1090, autogain, multi-feeder, and mlat-hub built in
Exploring secure environments for testing and running AI agent code, including options like Docker, online IDEs, and dedicated platforms.
