DBDelve
Dive deep into your data. A fast, native, multi-engine database client written in Rust. Free and open source, no telemetry.
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Open-Source Personal Cloud OS for Always-On Agents
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Read the full README ↗Olares is an open-source personal cloud OS you operate in plain language, built to run AI agents and LLMs on hardware you own.
Powered by Kubernetes, it turns your machines into a self-hosted AI platform accessible from any browser, giving everyone from individual users to small teams a unified place for compute, storage, networking, and apps.
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Great AI needs to know you. That requires access to your files, messages, and history. Many cloud AI services store this sensitive data on third-party servers and charge based on usage.
Olares brings AI home, so you can use Lares, the official Olares AI assistant, or agents like OpenClaw with local LLMs on hardware you own while still enjoying the access and convenience of the cloud.
Features include:
To install Olares on an existing Linux system using the script below, your machine needs:
A dedicated GPU is optional and enables local AI acceleration.
On your Ubuntu or Debian host, run the following command from an account with sudo access:
curl -fsSL https://olares.sh | bash -
This command downloads the official installer from olares.sh and runs it with Bash. See the Linux script installation guide for the full setup steps and troubleshooting.
For a fresh installation on an Intel or AMD x86-64 machine, use the ISO image. For a containerized installation on Linux, see the Docker Compose guide.
Once setup is complete, open your Olares desktop in a browser at its address, for example, https://desktop.marvin123.olares.com.
Follow the AI onboarding guide to set up Router, Lares, and a local model, then start your first conversation. Try asking Lares: "Check this device's configuration."
Just as public clouds offer IaaS, PaaS, and SaaS layers, Olares provides open-source alternatives to each of these layers.
This is the beginning of the README. Read the rest at the original. Read the full README ↗