OpenClaw adds decision model to choose between steer and queue

X postPeter SteinbergerAnnouncement

The upcoming version of OpenClaw introduces a decision model to automatically determine whether to steer an agent immediately or queue the task.

Key points

  1. OpenClaw is adding a lab feature that uses a decision model to automatically decide between steer and queue.
  2. Supported options include Jef, API-compatible local models such as Kef/Kev, and ONNX variants.
  3. The capability is an optional lab flag that will be evaluated over a few weeks to assess retention and utility.
  4. Decision models are also planned for tool search and agent skills.
  5. Steinberger shared details of their internal setup: OpenClaw runs on a server with Cloudflare Auth synced from GitHub, with the agent operating in Discord.

Why it matters

Balancing immediate steering against queued execution is a recurring challenge in agent interfaces. Delegating routing decisions to fast decision models can streamline workflow management without requiring constant manual intervention.

Analysis

By implementing this as an optional lab feature, OpenClaw avoids imposing opinionated routing logic on all users while testing whether automated steering decisions hold up in daily usage. Supporting local ONNX models ensures low latency for quick classification tasks.

Original post

Peter Steinberger 🦞

@steipete · 23 September 2026

Next version of OpenClaw uses a decision model to automatically decide between steer or queue. (Lab feature, we support Jef* and API-compat (e.g. local models like Kef...) and ONNX variants) t.co/gOKairj6Bp

1.6k likes142 replies388 bookmarks115.8k views

View on X
More posts in the thread (6)
  1. @morganlinton Jef, Kev or some ONNX ones. You can choose.
  2. @aapakari yup
  3. @ujjalcal @vincent_koc We run OpenClaw on a server and everyone logs in via Cloudflare Auth, synced from GitHub. And our agent is in Discord.
  4. @prasithg defo for tool search and skills!
  5. @ksubedi It's a lab feature you can turn on - we'll have to put this in use for a few weeks to see if it's sticky!
  6. @BarryBuildsAI yup we have that too
Selected replies (5)
  • @morganlinton @steipete very neat, and by decision model, do you mean a system one model like Jev or something else 👀
  • @The_COOL_One_B @steipete That is a really bad idea! You should always steer and queue should be optional, just like it is in Codex for example. And you can even queue the work with a steer. And in general, I suggest to you, please stop enforcing these things and make them optional if you still want that
  • @anytanreal @steipete auto steer vs queue tho. @grok what's a "decision model" doing here vs just a router
  • @reggevinci @steipete @vincent_koc wait so i can invite people to openclaw sessions?
  • @ujjalcal @steipete @vincent_koc How are you doing the collaboration

Mentioned links

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

Related entries

Similar in content, found by the AI search.

  • Link:hostinger.com

    OpenClaw: Self-Hosted AI Assistant for Multi-Channel Messaging

    OpenClaw is a self-hosted personal AI assistant platform that integrates messaging services such as WhatsApp, Telegram, and Slack via a unified gateway running on private infrastructure. Version 2.0 introduces team collaboration features, browser automation, and extensible skills.

    AI & LLMs· Tool

  • Article:Hannes Rudolph

    OpenClaw 2.0: Major Update Introduces Simplified Setup and Shared Sessions

    Open-source project OpenClaw has announced OpenClaw 2.0, representing the largest release in its history. Developed over nearly seven weeks by 933 contributors, the update incorporates more than 16,000 pull requests. What started as an effort to streamline installation and rebuild the browser interface turned into a comprehensive overhaul of the platform, including new multiplayer collaboration features.

    AI & LLMs· Announcement

  • Article:DeepInfra

    Top LLMs for OpenClaw Agentic Workloads

    DeepInfra evaluates open-weight models for the OpenClaw autonomous agent framework, focusing on tool-calling reliability, long-session instruction adherence, and cost per completed task.

    AI & LLMs· Resource

  • X post:Peter Steinberger

    OpenClaw Deletes 400k Lines of Tests Using Dedicated Agent Skill

    Peter Steinberger reported that OpenClaw pruned around 400,000 lines of its own test code with minimal impact on code coverage. The cleanup was driven by an agent skill called 'test-audit', which targets low-value, redundant, or implementation-coupled tests.

    10.8kbookmarks1.3mviews

    AI & LLMs· News

Back to the knowledge base

Let's talk about your project

Get in touch

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.