The age of local agents

Run private AI agents on your own machine.

AgeOS puts the agent era on hardware you already own. Keep your data private, avoid per-token cloud bills, and run AI close to the files and tools that matter.

curl -fsSL https://github.com/ageos-labs/ageos-runtime/releases/latest/download/install.sh | bash
01

Age of Local Agents

Agents are becoming everyday tools. AgeOS makes them feel local, direct, and owned by you instead of rented from a cloud dashboard.

02

Own Your Hardware

Use the CPU, GPU, and storage already on your desk. Scale with machines you control, not surprise usage meters.

03

Private by Default

Your prompts, files, and agent logs stay on your machine. They are not sent away to be learned from or used to train someone else's model.

Download

Install in one line.

Start running local agents on your own hardware and keep everyday AI work private, predictable, and cost-effective.

Linux
curl -fsSL https://github.com/ageos-labs/ageos-runtime/releases/latest/download/install.sh | bash
Windows PowerShell through WSL
irm https://github.com/ageos-labs/ageos-runtime/releases/latest/download/install.ps1 | iex

Docs

From install to your first local agent.

Use these commands to get started, inspect local models, start the endpoint, and launch an agent without sending your work to the cloud.

Open full docs on GitHub

$ ageos --help

$ ageos models list

$ ageos serve

$ ageos run --root-dir . --binary ./examples/basic_agent.py --memory 16G

Build with us

The next era of agents belongs on hardware people control.

Enterprise

Bring local agents to your team.

Tell us how your team wants to cut AI costs, protect private data, and make better use of the hardware you already own.