Peter Steinberger
5ebbc3c003
* fix(agents): keep stalled turns visible after Responses streams settle A bare-continue turn in live QA (goal-followthrough-live, gpt-5.4 via openai-responses) completed its SSE requests and then produced no terminal result, delivery, timeout, or error for 6+ minutes until SIGTERM. Root cause: turn liveness is enforced only while awaiting provider stream events (llm-idle watchdog); queued subscription handlers are fire-and-forget during the turn and finalize joined them unbounded and un-abortable, backed only by the 48h default run budget. One hung delivery handler silently dead-ended the whole turn. - Bound the pending-events join in attempt-stream-finalize with a 120s liveness deadline plus the run-abort signal; on expiry, warn with the runId and proceed to settlement so the run always yields a visible terminal outcome. - Responses transports now report every SSE event via notifyLlmRequestActivity (parity with completions/anthropic), so bookkeeping-only events keep the idle watchdog quiet instead of counting as network silence. * fix(agents): bound the settlement block-reply flush with the shared liveness join ClawSweeper P1 on #120426: after the finalize-phase join times out, settlement still awaited onBlockReplyFlush on the same wedged delivery chain (unbounded on the supported blockReplyTimeoutMs: 0 path). Generalize the bounded join into joinWithRunLivenessDeadline in run/abortable.ts (owner of abort/liveness racing) and use it for both the pending-events join and the settle flush; timeout and abort resolve with a recorded warning so the turn always reaches a visible terminal outcome. New coverage: helper tests (hang, abort, rejection) and a real-settle-path regression holding the flush past the deadline.
OpenClaw 🦞 — Your assistant, on your devices, in your chats
OpenClaw is a personal AI assistant that runs on your devices and meets you in the channels you already use. It is designed for a single operator and connects models, tools, messaging channels, and optional companion apps through one Gateway.
Website · Docs · Getting started · 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 22.22.3+, 24.15+, or 25.9+):
npm install -g openclaw@latest
See the installation guide for npm 12 lifecycle-script requirements, Docker, Nix, and other deployment paths.
Quick start
openclaw onboard --install-daemon
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.
Community
OpenClaw is developed in the open by the OpenClaw Foundation, a non-profit. 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.
Sponsors
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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.