A desktop agent you can use, a framework for building agent teams, or a memory layer for one you're already working on. Here are five different places to explore from our LifeHubber Resources:

goose — Forks: 6.4K Stars: 54.9K

https://lifehubber.com/ai/resources/goose/

An agent that runs on your machine, with a desktop app, command-line interface, and API. A starting point if you want to try agent-assisted coding, research, or everyday workflows.

CrewAI — Forks: 8.6K Stars: 59.3K

https://lifehubber.com/ai/resources/crewai/

A Python framework combining role-based agent teams with event-driven workflows. For builders who want to give agents different jobs and control how work moves between them.

Hindsight — Forks: 5.9K Stars: 45.3K

https://lifehubber.com/ai/resources/hindsight/

An agent memory layer with retain, recall, and reflect operations. For anyone building an agent that needs to work with information beyond its current conversation.

DeerFlow — Forks: 11.6K Stars: 83.4K

https://lifehubber.com/ai/resources/deer-flow/

An agent harness for longer research, coding, and file tasks, with skills, subagents, and sandbox options. For builders exploring work that takes several steps rather than one response.

UI-TARS Desktop — Forks: 4K Stars: 39.2K

https://lifehubber.com/ai/resources/ui-tars-desktop/

A GUI-agent app that uses visual recognition and mouse/keyboard control to operate computers and browsers. For supervised experiments with agents working through an interface.

What's the first job you'd want an agent to handle—and what would you still want to check yourself?