OpenClaw shipped its most ambitious stable release of 2026 this week — and followed it up almost immediately with a beta teaser that has the community buzzing. v2026.6.10 stable landed on June 24 with 279 commits, 17 contributors, and a suite of features that fundamentally change how personal AI agents operate across chat channels. Then, barely days later, v2026.6.11-beta.1 dropped with operator-level capabilities that hint at where OpenClaw is heading.

The Big One: Automatic Fast Mode

If you’ve ever found yourself waiting too long for a simple AI response — or watching short conversations burn expensive compute cycles — /fast auto is your answer. This feature intelligently routes calls based on conversation context: short, casual exchanges start in fast mode immediately, while longer work, retries, and fallback operations transparently shift back to normal mode as needed.

The key word here is automatic. You no longer have to consciously switch modes or remember to type /fast at the start of every quick chat. OpenClaw observes your conversation and makes the routing decision for you, all while preserving visible state and progress so you never lose work mid-session.

This is the kind of quality-of-life feature that, once you have it, you can’t imagine living without.

Slack Relay Mode: Your Agent Meets Your Team

One of the most-requested features in the community has finally arrived in stable form: Slack relay mode. OpenClaw can now operate as a full participant in your Slack workspace, responding to slash commands like /fast, /think, and /model directly from channels and DMs.

This isn’t just a chatbot integration — it’s relay mode, meaning your personal OpenClaw agent maintains its identity, memory, and context across Slack interactions. Your agent learns your workflows from Slack, acts on messages, and brings all its tool capabilities into your team chat. For remote workers and distributed teams, this is a significant unlock.

The official documentation at docs.openclaw.ai/channels/slack walks through the setup, including how to configure per-DM model overrides so different team members can get different model behaviors from the same deployment.

Mattermost Support Added

Hot on the heels of Slack, Mattermost joins the official channel roster. For teams running self-hosted infrastructure who’ve been watching Slack support with envy, this is your moment. Same relay semantics, same slash command support, but now on the open-source messaging platform preferred by enterprises and security-conscious teams.

What Else Landed in v2026.6.10

The full changelog is dense — 279 commits dense — but here are the other highlights worth knowing:

  • Improved model/provider routing: Z.ai GLM-5 catalog models are now fully supported, along with OpenCode Go catalog additions including GLM-5.2 and Kimi K2.7 Code. If you’ve been waiting for first-class GLM routing, it’s here.
  • Trusted tool policies: A new trust framework for tools that makes agent automation more secure, particularly useful when running OpenClaw in multi-user or shared environments.
  • openclaw doctor: A built-in diagnostics command that checks your installation, providers, and channel connections for common configuration issues. A huge help for troubleshooting.
  • Session identity and channel routing fixes: Addresses a long-standing class of bugs where sessions would lose track of their identity when hopping between channels or accounts.
  • macOS/Podman/Docker timeout handling: Improved reliability for users running containerized deployments on macOS.
  • StepFun provider plugin: Now discoverable via ClawHub and npm, making it trivially easy to add to your configuration.

v2026.6.11-beta.1: The Operator Features Are Coming

The beta release — available now for those who want to test early — adds capabilities that suggest OpenClaw is building out serious enterprise and operator tooling:

  • Operator RAFT CLI: A new command-line interface for operators managing OpenClaw deployments at scale. RAFT (Reliable Agent Flow Technology, presumably) suggests fault-tolerant agent coordination is on the roadmap.
  • Agent message-file feature: Agents can now reference message files directly, enabling richer, document-grounded agent interactions without manual copy-paste.
  • Safer plugin distribution: Improved mechanisms for distributing plugins through ClawHub with better integrity checking, continuing the platform’s push toward a more secure skill ecosystem.

These are operator- and platform-level features rather than end-user improvements, which suggests OpenClaw is starting to target production deployments and team administrators rather than just individual users.

How to Update

If you’re on a stable channel, you should be prompted to update automatically. You can also trigger it manually:

openclaw update --channel stable

To opt into the beta:

openclaw update --channel beta

Run openclaw doctor after updating to confirm everything is configured correctly.

What This Means for the Ecosystem

OpenClaw’s multi-channel expansion — Slack, Mattermost, WhatsApp, Telegram, and more — positions it as the glue layer for personal AI across wherever people actually work. The auto fast mode change is particularly significant: it represents OpenClaw making intelligent infrastructure decisions on your behalf, which is exactly the kind of agentic behavior that makes these tools feel less like chatbots and more like actual assistants.

With 17 contributors and 279 commits, this is also one of the most community-driven releases yet. If you’ve been on the fence about contributing to OpenClaw, the momentum is clearly there.

Sources

  1. OpenClaw v2026.6.10 Release Notes — GitHub
  2. Reddit r/openclaw — v2026.6.10 Release Thread
  3. OpenClaw Slack Channel Documentation — docs.openclaw.ai
  4. OpenClaw Mattermost Channel Documentation — docs.openclaw.ai
  5. openclaw.ai Official Site

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