Playnex is built on a simple belief: intelligence should live where you live. On your laptop, your desktop, your small server — close to your work, your files, and your attention. Local‑first intelligence is about privacy, speed, cost, and control.
Explore Local‑First →Local‑first means your agents run on your devices by default. Models, tools, and memory live close to you — not locked away behind a remote API.
Cloud can still play a role when you choose it, but it’s no longer the default or the requirement. You stay in control of where your intelligence runs.
Local‑first changes four things at once:
Instead of renting intelligence from a remote provider, you own the environment where it runs.
Playnex is designed to work with local models first — Llama, Mistral, Qwen, Phi, and others that can run on your hardware.
When you need more scale or specific capabilities, you can connect cloud models as an option, not a dependency.
From the CLI, you might configure models like:
playnex models configure
This lets you choose which models are available to your agents, and where they run.
Memory in Playnex is also local‑first. Capsules — your drafts, notes, research, and agent‑generated work — are stored on your devices.
You can sync or back them up however you like, but the default is simple: your knowledge lives with you.
Orchestration flows — multi‑agent workflows — also run locally. Each agent in the flow uses local models, local tools, and local memory by default.
This means you can run complex, multi‑step processes without sending your data to a third‑party service.
Local‑first doesn’t mean cloud‑never. It means you choose cloud intentionally, when it serves you.
Cloud can be useful when:
Playnex lets you mix local and cloud — but always from a position of control.
Local‑first intelligence is about bringing power closer to you — so your agents feel less like a distant service, and more like part of your own environment.
Ready to see local‑first agents in action? Explore the step‑by‑step tutorials.
Or return to the documentation overview.
Back to Docs →