OpenClaw v2026.9.2: Reliability, GPT-6 Astra, Muse Spark 1.3
OpenClaw v2026.9.2 ships with 1,245 pull requests from 232 contributors. The release focuses on reliability and performance, adding support for OpenAI's GPT-6 Astra and Meta's Muse Spark 1.3, plus a new task workspace layout.
Reliability and performance improvements
- Update reports survive restarts: Recorded steps, outcome, and verification results remain accessible from Settings, chat, and CLI after OpenClaw restarts.
- Full Access tasks can resume: Eligible tasks continue after a restart using saved conversation and fresh authorized tools. Interrupted delegated tasks have their own recovery path. Interrupted calls are not automatically replayed, and uncertain external sends may still require manual attention.
- CLI-backed answers persist: Completed CLI-backed answers survive later session-saving failures, and final summaries can recover from temporary provider failures without repeating completed tool actions.
- Settings changes apply without disconnecting chats: More routine settings (e.g., listening address changes still require full restart).
- Long conversation opening is faster: Prioritizes recent messages, sends less history up front, and avoids redrawing completed messages. Background history prep and reduced database work help when loading older chats.
GPT-6 Astra and Muse Spark 1.3
GPT-6 Astra is available to accounts with access via an OpenAI API key or eligible ChatGPT/Codex subscription. On the official endpoint with an API key, it can keep reasoning while direct tools run. Supported WebSocket connections allow sending text or image corrections into an active response without waiting for completion.
Muse Spark 1.3 adds Standard and Contributor choices with text, image, and reasoning support. New Meta setups default to Standard 1.3; existing primary-model settings remain unchanged. Contributor has separate access and data-use terms—check before selecting.
Workspace arranged around the task
The new task layout lets you put a dashboard, browser, terminal, or file view in the main space with Chat on the left, right, or below. You can swap views, focus, or restore a split, with arrangement remembered per browser and live inputs preserved across supported panel changes. The Dashboard gallery adds visual browsing, search, and sorting.
Guided local-model setup
Managed llama.cpp setup recommends a text-only model based on your computer's resources, shows name and download size, and checks both a response and real tool use before changing your default. A failed or cancelled activation leaves the previous model selected. The smallest recipe starts at 8 GiB of memory; larger models need more. CPU-only replies can still take minutes.
The full release notes cover all 1,245 changes.
📖 Read the full source: r/openclaw
👀 See Also
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