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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
Mainly this project aims at easing startup and use of XCSoar (see xcsoar.org) on Kobo Mini. But the scope of use should not be limited solely to XCSoar.
The Launcher should be small in code size, reuse most of the original libraries, provide flexible configuration to any application that might be ported to the Kobo Mini. It supports customizable fonts, toolbox-pages, buttons (also graphical), labels, autostart and sleep timers.
mkinitramfs & mkinitrd replacement and (eventually) alternate /init
...Currently there is a fully working initramfs (mkinitramfs/mkinitrd) replacement that is capable of building the early user context images both as separate files or built into the kernel image.
The working proof of concept code for the alternate /init is too messy to sahre just now. /doh.
All Tini does is spawn a single child (Tini is meant to be run in a container), and wait for it to exit all the while reaping zombies and performing signal forwarding. It protects you from software that accidentally creates zombie processes, which can (over time!) starve your entire system for PIDs (and make it unusable). It ensures that the default signal handlers work for the software you run in your Docker image. For example, with Tini, SIGTERM properly terminates your process even if you...
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