What is Nori

Nori is the most customizable stack for background cloud agents: proactive, programmatic agent runs inside secure sandboxes, plus the open-source tooling to drive any agent from anywhere. One idea runs through all of it — take any team of AI coding agents immediately cloud-native, with any harness, any token provider, any integrations, and (eventually) any compute.

The problem

Coding agents are powerful on a laptop and stranded there. Moving them to the cloud usually means picking one vendor’s harness, one model provider, one opinionated runtime — and rebuilding your workflow around it. Teams that want many agents, running proactively, on their own compute, with their own integrations, end up gluing it together themselves.

Who Nori is for

• Teams adopting agents at scale who want managed agents they can start from Slack and trust in a sandbox — without babysitting a VM.
• Builders of multi-agent systems who want to bring their own harness, model keys, and compute, and compose the pieces themselves.
• Open-source users who just want one great terminal for every agent, and a registry of configurations that make those agents better.

How you use it

Nori comes in two ways in — a fully-managed product and a composable open-source core.

• Sessions — a managed cloud runtime. Start an agent in a secure sandbox from a Slack thread, hand it a task, and get results back. This is the “fully-managed agents in Slack” path.
• Handroll — the local terminal proxy that fronts an interactive agent and connects it to the cloud, with attach / detach / hand-off.
• CLI (open source) — one native terminal for every provider: Claude, Codex, Gemini, or any ACP-compatible agent. Bring your own token.
• Skillsets (open source) — install packaged agent configurations from an open registry; one skillset is translated to every agent’s on-disk format.

The managed product and the open-source core are the same idea at two altitudes: the product runs it for you; the open source lets you run it yourself.

Get started

• New here? Follow the Quickstart.
• Want the mental model first? Read Core concepts.

Can’t find what you’re looking for?

Each product has its own overview and reference. If something is missing or unclear, that is a documentation bug — see the FAQ or the GitHub org.