John Myers c745c688a3 feat(tui): interactive draft actions, highlight bar, and detail popup
Rework the draft recommendations panel to match the logs UX:
- Highlight bar (green accent + background) instead of arrow marker
- Viewport-aware j/k scrolling with g/G for top/bottom
- Enter opens a full-screen detail popup showing endpoints, binaries,
  rationale, security notes, and action hints

Add approve/reject/approve-all draft actions:
- [a] approve selected chunk, [x] reject, [A] approve all pending
- Actions work from both the list view and the detail popup
- gRPC calls run async; result updates status bar and refreshes data
- Nav bar shows all available keybindings

Fix draft count refresh: sandbox_draft_counts now refreshes on every
tick (not just Dashboard), so the detail header badge updates in
real time.

Improve badge labels: show 'N pending' instead of a bare number in
both the dashboard sandbox list and sandbox detail header.
2026-03-10 23:36:34 -07:00
2026-02-26 20:25:39 -08:00

OpenShell

OpenShell is the runtime environment for autonomous agents—the "Matrix" where they live, work, and verify.

While coding tools like Claude help agents write logic, OpenShell provides the infrastructure to run it, offering a programmable factory where agents can spin up physics simulations to master tasks, generate synthetic data to fix edge cases, and safely iterate through thousands of failures in isolated sandboxes.

It transforms the data center from a static deployment target into a continuous verification engine, allowing agents to autonomously build and operate complex systems—from physical robotics to self-healing infrastructure—without needing a human to manage the infrastructure.

Quickstart

Prerequisites

  • Docker — Docker Desktop (or a Docker daemon) must be running.
  • Python 3.12+
  • uv 0.9+

Install

uv pip install openshell \
  --upgrade \
  --pre \
  --index-url https://urm.nvidia.com/artifactory/api/pypi/nv-shared-pypi/simple

The openshell binary is installed into your Python environment. Use uv run openshell to invoke it, or activate your venv first with source .venv/bin/activate.

Create a sandbox

To install a Openclaw cluster and start a sandbox

openshell sandbox create -- claude  # or opencode or codex

To run a sandbox on a remote machine, pass --remote [remote-ssh-host].

For more information see openshell sandbox create --help.

The sandbox container includes the following tools by default:

Category Tools
Agent claude, opencode, codex
Language python (3.12), node (22)
Developer gh, git, vim, nano
Networking ping, dig, nslookup, nc, traceroute, netstat

For additional sandbox images see the NVIDIA/OpenShell-Community images. You can also build your own custom images.

Deploy a cluster

Note: openshell sandbox create automatically deploys a cluster if one isn't already running.

To deploy a cluster explicitly:

openshell gateway start

For remote deployment:

openshell gateway start --remote user@host

Upgrading

To upgrade, redeploy your cluster to pick up the latest server and sandbox images:

openshell gateway start

This will prompt you to recreate the cluster. Select "yes" to recreate the cluster.

Developing

See CONTRIBUTING.md for building from source and contributing to OpenShell.

Architecture

See architecture/ for detailed architecture docs and design decisions.

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