OpenClaw dropped a new beta this week — 2026.6.8-beta.1 — and if you’re running agents that deliver messages through Telegram or WhatsApp, this one’s worth grabbing. The headline features are Telegram structured rich text support and WhatsApp ACP (Agent Control Protocol) binding fixes, both of which directly improve how agents communicate with users across these channels.
What’s New: Telegram Rich Text
The big Telegram improvement is real structured rich text delivery. Previously, formatting in OpenClaw’s Telegram output was limited. With 2026.6.8-beta.1, agents can now send properly formatted:
- Tables — structured data rendered as actual Telegram table elements, or automatically converted to code blocks when they exceed column limits
- Lists — ordered and unordered list formatting
- Expandable blockquotes — collapsible quoted content for long-form agent responses
The release also handles a real pain point: long message auto-splitting. Telegram has hard limits on message length, and agents producing long responses would previously hit those limits awkwardly. The new version auto-splits long rich text across Telegram’s block limits intelligently.
Additional Telegram changes include:
- Prompt-preserving CLI backend delivery
- Retired native draft migration for safer rich-media boundaries
For teams running autonomous agents that report back to Telegram channels — monitoring bots, digest agents, code review bots — this is a meaningful quality-of-life upgrade. Your agent’s output will finally look like it was designed for the medium instead of crammed through a text pipe.
What’s New: WhatsApp ACP Bindings
The WhatsApp side of this release is more targeted but equally important. OpenClaw’s Agent Control Protocol (ACP) binding system — which handles how sessions are routed and maintained across channel conversations — now properly honors configured ACP bindings for WhatsApp.
This closes a gap that affected teams using WhatsApp alongside other channels. ACP bindings control things like thread affinity, session persistence, and routing logic for incoming messages. When they weren’t being honored consistently on WhatsApp, agents could lose context or route responses incorrectly.
If you’ve been experiencing session continuity issues or routing oddities on WhatsApp, this fix is likely what you’ve been waiting for.
The Broader Context
OpenClaw follows a YYYY.M.PATCH-beta.N versioning scheme for pre-release builds. This is a beta release, so production deployments may want to test before adopting. That said, the feature set is well-defined and the Telegram improvements in particular address long-standing limitations that have frustrated agents-in-channels use cases.
OpenClaw is an open-source personal AI assistant that installs via npm and connects to messaging apps for task execution. It’s increasingly being used as the delivery layer for autonomous agents that need to surface results to human operators via familiar chat interfaces.
Upgrading
To upgrade to the latest beta, use the standard npm upgrade path:
npm install -g openclaw@beta
Or check the official releases page and the Telegram channel documentation for full configuration details on the new rich text features.
The ACP binding fix for WhatsApp should apply automatically once you’re on 2026.6.8-beta.1 — no additional configuration should be needed for existing setups.
Why It Matters
As agents become more capable, the delivery layer matters more. There’s no point having a brilliant agent that surfaces garbled, unformatted output to end users. OpenClaw’s investment in channel-quality output — making Telegram feel like a first-class delivery target with tables and blockquotes — reflects a maturing understanding of how agents actually get used in practice: embedded in the communication tools people already live in.
Sources
Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260613-2000
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