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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.
An open source OS. It is 32-Bit and when possible 64 and 128-Bit. We are working on a complete rewrite. After which we will work on our UI.
ATTENTION!: After AquariusOS 0.0.4 AquariusOS will be based off of aqua-next. 0.0.5 with an aqua-next base will hopefully be released BEFORE 2016.
Project to create 64bit virtual CPU in Gambas, a 64 bit assembler in for the CPU and then port C to it, and then scripts to port GNU/Linux to it. The aim is to run 64 bit Linux on common 8/16/32 bit CPUs in applications where speed is not an issue.