f9584dc5cc
## What Problem This Solves Proxy setup seeded a list that hid discovered models. Omitting it also exposed first-request capability loss, now repaired by merged prerequisites #150003 and #150136. ## Why This Change Was Made The onboarding preset alone decides whether to seed; this state has one writer. Explicit URL + merge preserves authored rows or leaves discovery an empty list. Replace mode disables discovery and keeps the default. Production growth: two lines for this distinction. Growth accepted under the owner's standing acceptance (2026-09-15). ## User Impact Fresh remote setup can list proxy models. Replace mode and setup without a URL keep a usable default. ## Evidence After supported noninteractive onboarding to an isolated proxy, `agent --local --json` before discovery returns the exact fixture reply with 1M context, medium thinking, configured URL/auth and no fallback. Explicit off stays off. `models list --provider litellm --refresh --json` then makes one authenticated GET and lists the returned row; the original setup showed only its seed. Replace makes one inference POST and zero discovery GETs. These fresh checks ran after integrating both prerequisites. The final commit only corrects test inputs; production is identical. This proves a synthetic HTTP boundary, not external inference, images or cache performance. ## Compatibility Authored metadata, no-URL defaults and both auth methods remain. No configuration shape or SDK change. ## Consumers Interactive and noninteractive setup use the shared preset. Agent test inputs now declare authored rows and replace mode before use. ## Invalidation Existing config publication and explicit refresh remain responsible. ## Tests Twelve registered setup/catalog cases, four sibling cases, selected preparation/refresh/auth tests and all eight first-request/authority/memory cases pass. Two integrated fixture failures were corrected without weakening assertions. Local preflight and both line-limit checks pass; new-head CI is pending. Co-authored-by: Ayaan Zaidi <hi@obviy.us> |
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OpenClaw 🦞 — Your assistant, on your devices, in your chats
OpenClaw is an open-source AI assistant that runs on your own computer and meets you in the channels you already use: Discord, iMessage, Slack, Teams, Telegram, WhatsApp, and 20+ more, plus native apps for macOS, iOS, Android, Windows, and Linux. One Gateway runs it as a personal assistant on a laptop or as a shared team deployment; configuration is the only difference.
Yours, with no catch. State, memory, and credentials live on your hardware. Models and agent harnesses (Claude, Codex, local models) are plugins you can swap without changing anything else. Your prompts go to the model provider and chat platforms you configure, plus any diagnostics export you enable yourself; by default OpenClaw itself phones home for nothing but a daily version check, anonymous feature statistics are opt-in, and update.checkOnStart: false disables both (what OpenClaw sends). OpenClaw is stewarded by the OpenClaw Foundation, an independent 501(c)(3), and has no paid tier, hosted service, or token. The architecture case — trusted gateway, untrusted execution, deterministic policy — is in Why OpenClaw.
Website · Docs · Getting started · Why OpenClaw · Showcase · FAQ · Vision · DeepWiki
Install
The installer supports macOS, Linux, and Windows. It provisions a supported Node.js runtime when needed.
# macOS / Linux / WSL2
curl -fsSL https://openclaw.ai/install.sh | bash
# Windows PowerShell
iwr -useb https://openclaw.ai/install.ps1 | iex
Already manage Node.js? Install the published package instead (Node 24.16+ or 26.1+; Node 26 recommended):
npm install -g openclaw@latest --allow-scripts=openclaw
That command is for npm 12 or npm 11.16+. On npm 11.15 and earlier, omit
--allow-scripts=openclaw. See the
installation guide for the lifecycle script
contract, Docker, Nix, and other deployment paths.
Quick start
On a fresh install, the installer scripts start onboarding automatically. Complete the wizard they open. If you installed the package directly with npm, pnpm, or Bun, run:
openclaw onboard --install-daemon
After onboarding:
openclaw gateway status
openclaw dashboard
Onboarding verifies model access, creates the workspace, and configures the Gateway. The last command opens the Control UI; send a message there to confirm the assistant is working. See the getting started guide for channel setup and troubleshooting.
How it fits together
- The Gateway is the local control plane for sessions, tools, events, and channel connections.
- The Control UI, CLI, and TUI connect to the Gateway.
- Channels bring the assistant to WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, iMessage, and other messaging services.
- Companion apps and nodes add voice, Canvas, camera, screen, and device-local actions on supported platforms.
OpenClaw works with hosted and local model providers. Its tools, skills, and plugins extend what an assistant can do.
Security
Treat inbound messages as untrusted input. DM-capable channels pair unknown senders by default; approve a pairing request with openclaw pairing approve <channel> <code>.
Tools run on the host for the main session unless you configure sandboxing. Read the security guide, exposure runbook, and sandboxing guide before connecting other users or exposing the Gateway remotely.
Documentation
| Goal | Start here |
|---|---|
| Configure models and auth | Models · Model providers |
| Connect a messaging service | Channels |
| Add tools, skills, and plugins | Tools · Skills · Plugins · ClawHub |
| Run apps and device nodes | Platforms · Nodes |
| Use the CLI and chat commands | CLI reference · Slash commands |
| Configure or operate the Gateway | Configuration · Architecture · Updating · Release channels |
Development
The repository is a pnpm workspace. Plain npm install at the repository root is not supported.
git clone https://github.com/openclaw/openclaw.git
cd openclaw
pnpm install
pnpm build
pnpm ui:build
See CONTRIBUTING.md for the contribution workflow and the source setup guide for the development loop.
Governance
OpenClaw is developed in the open by the OpenClaw Foundation, an independent 501(c)(3). The Foundation employs the core team and signs releases. Donors and infrastructure sponsors support the Foundation; none of them own or direct the project. OpenAI is a donor, not an owner.
Community
See CONTRIBUTING.md for maintainers and contribution guidelines; AI-assisted PRs are welcome.
Use the issue chooser for bugs and feature requests, ask setup questions in Discord, and report vulnerabilities through SECURITY.md. New capabilities usually belong in plugins built on the plugin SDK and shared through ClawHub.
OpenClaw was built for Molty, a space lobster AI assistant, by Peter Steinberger and the community. Explore the project lore, soul.md, Peter's site, Star History, and @openclaw.
Special thanks to Mario Zechner for his support and for pi, and to Adam Doppelt for the lobster.bot domain.
Donors and sponsors
The Foundation is funded by donors including Amazon, Lobster Computer Company, Offline Holdings, OpenAI, Red Hat, and the University of Michigan, with infrastructure support from Blacksmith, Convex, GitHub, NVIDIA, and Vercel.
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Contributors
Thanks to all clawtributors:
![github-actions[bot]](https://avatars.githubusercontent.com/in/15368?v=4&s=48){kind=small}
![clawdinator[bot]](https://avatars.githubusercontent.com/in/2607181?v=4&s=48){kind=small}
![google-labs-jules[bot]](https://avatars.githubusercontent.com/in/842251?v=4&s=48){kind=small}
License
MIT © OpenClaw Foundation. See THIRD_PARTY_NOTICES.md for incorporated or adapted code.