I built a local AI stack with 5 Docker containers, and now I'll never pay for ChatGPT again
… It is a privacy-focused metasearch engine that I run locally using Docker. …
… It is a privacy-focused metasearch engine that I run locally using Docker. …
… They promise that, with a singular command, users can run always-on, self-evolving agents with privacy and security controls already baked in, without requiring manual configuration. …
… But privacy is just the baseline. …
… Related I ran local LLMs on a "dead" GPU, and the results surprised me My Pascal card may not be ideal for intensive workloads, but it's more than enough for light LLM-powered tasks My local AI-aided workflows insulate me on the privacy front Although the fact that I don’t have to pay monthly subsc… …
… What started as a quest for privacy and local control quickly turned into a deep dive into the mechanics of AI infrastructure. …
… Since the models live on my hardware, there’s zero latency from internet round-trips, and I have total privacy. …
… OpenShell uses kernel-level isolation to prevent agents from reading arbitrary paths on the host or persisting changes across runs. …
… There is also the privacy aspect. While VS Code is open source, Microsoft still collects telemetry data, which means it is not the most privacy-focused development environment available. …
… Although I never managed to hit close to the max device limit, the 100 system cap was one of the reasons I’d set up a subnet router on my home network. …
… The feature works by running sandboxed agents in the background to generate memories from the screen images, and the company shares that the agents currently consume rate limits quickly. …