OpenClaw Roadmap 2026: What Is Coming?

Introduction

After months of development and extensive testing with our early-access users, we are working on OpenClaw v2. This update will contain the largest set of improvements since the platform's launch. From a completely redesigned agent mode to deeper analytics and native multi-channel support: v2 makes OpenClaw more powerful while simultaneously easier to use.

In this article, we give a preview of the key planned features, explain what they mean in practice, and share tips to get started right away once they are available. Existing customers are automatically migrated; no action is needed on your side.

Agent Mode: From Answering to Executing

The most requested feature was the ability for the chatbot to not only answer questions but also execute actions. In v2, we introduce agent mode. With this, the chatbot can perform tasks like creating a support ticket, updating an order, or scheduling an appointment, directly from the conversation.

Every action is configurable with permissions. You determine exactly which actions the agent may execute and which actions require human approval. Critical operations like refunds or deleting data always require confirmation from a staff member. The agent prepares the action but only executes after approval.

Agent mode uses function calling: you define available functions as JSON schemas and the chatbot determines based on the conversation when to invoke which function. Integration with your existing systems runs through webhooks or direct API calls.

Improved Analytics and Insights

The analytics dashboard has been completely rewritten. In addition to existing metrics like conversation count, average duration, and resolution rate, v2 now offers topic clustering, sentiment analysis, and a conversion funnel. Topic clustering automatically groups conversations by subject, so you can see at a glance which themes are most common.

Sentiment analysis detects whether customers are positive, neutral, or negative during the conversation. When sentiment shifts from positive to negative, the system can automatically trigger an escalation to a human agent. This prevents dissatisfied customers from dropping off without anyone noticing.

Native Multi-channel Support

In v1, each channel required separate configuration. In v2, multi-channel support is built in natively. You configure your chatbot once and deploy it to your website, WhatsApp, Facebook Messenger, Telegram, and email from the same dashboard. The chatbot automatically adapts its communication style to the channel: shorter and more informal on WhatsApp, more structured via email.

Conversations that start on one channel can seamlessly continue on another. A customer who starts on WhatsApp and later returns via the website sees their previous conversation history. This provides a consistent experience regardless of channel.

Other Improvements

The knowledge base now also supports PDF documents and web pages as sources. Upload a product manual as a PDF and the chatbot can immediately answer questions about it. The web crawler automatically retrieves content from specified URLs and keeps them current at configurable intervals.

Response time has improved by an average of 40 percent thanks to a new caching layer and optimized model routing. Simple questions are answered in under 500 milliseconds. Finally, the dashboard has been made fully responsive for management on mobile devices.

Conclusion

OpenClaw v2 will be the biggest update to date and will make the platform suitable for a broader range of applications. Agent mode opens the door to process automation, improved analytics provide deeper insight, and multi-channel support simplifies management. We are curious to see what you will build with it.