OpenClaw 4.11: The AI Agent Update Focused on Stability, Memory, and Real-World Use

OpenClaw is moving fast, and version 4.11 is a turning point if you’re serious about using AI agents for real work. Instead of flashy gimmicks, this release doubles down on stability, long‑term memory, and making sure your agent just works across the tools you already use.

Below, we’ll break down what’s new in OpenClaw 4.11, why it matters, and how it changes what’s possible with AI agents today.

Bring Your ChatGPT History Into OpenClaw

The headline feature in OpenClaw 4.11 is a new way to import your entire ChatGPT conversation history directly into OpenClaw’s long‑term memory system.

Until now, switching from ChatGPT to OpenClaw meant starting from scratch. Your new agent didn’t know your preferences, your projects, or how you like things done. With 4.11, you can pull in all that past context so your OpenClaw agent starts on day one already knowing you.

How Dreaming and Long‑Term Memory Work

OpenClaw has a feature called “dreaming.” While you sleep, your agent reviews everything you talked about during the day, picks out what matters—preferences, recurring topics, decisions—and saves it into a file called memory.md. Every new chat your agent starts reads from that file, so it can remember things from last week or last month, not just the current message.

With 4.11, dreaming doesn’t just look at today’s chats. It can now process your imported ChatGPT history as well. That means:

• It finds patterns in how you work and communicate.
• It learns your ongoing projects and recurring tasks.
• It builds a richer, long‑term profile of you from hundreds of past conversations.

You enable dreaming with a single line in your config (enable: true), and it runs overnight by default. There’s also a Dreams UI where you can see exactly what your agent has decided is important—no black box, full transparency.

Imported Insights and the “Memory Palace”

To make this usable, OpenClaw 4.11 adds two dedicated views in the interface:

• Imported Insights – Shows the source chats and where each insight came from.
• Memory Palace – A kind of personal wiki about you, generated from your own words across all those conversations.

The result is like switching phones and keeping all your contacts, photos, and messages—except this time, it’s your AI’s understanding of who you are that comes with you.

Massive Stability and Reliability Improvements

4.11 is also a big stability release. If you’re running agents that need to stay online and dependable—especially for business workflows—these changes matter more than any single new feature.

Smarter Provider Routing and Clean Fallbacks

OpenClaw can talk to many different models: GPT‑4, Claude, local models via Ollama, and more. In 4.11, the way it chooses providers and sends requests has been hardened:

• Provider routing is now safer and more reliable, so your agent is less likely to break when a provider hiccups.
• Transport layer fixes ensure requests are sent and retried cleanly.
• Fallbacks are now truly independent – if one model fails, the backup attempt starts fresh instead of inheriting the previous error.

Previously, if a request to Claude failed and OpenClaw fell back to GPT‑4, the GPT‑4 attempt could still fail because it was carrying over the error state from Claude. That’s now fixed—each attempt is clean.

Sub‑Agents and Multi‑Agent Workflows

OpenClaw really shines when you use multiple agents together—parent agents delegating tasks to sub‑agents in the background. In 4.11, this system gets a major cleanup:

• Background “chatter” from sub‑agents is now suppressed, so you don’t see internal progress logs leaking into your main conversation.
• Parent–child communication is more reliable, which is crucial for complex workflows where one agent researches, another writes, and another reviews.

If you’re interested in where this kind of multi‑agent setup is heading over the next few years, it ties directly into the broader shift described in AI in 2028: From Coding Copilot to Small Business Superpower.

Safer Exec Approvals and Local Model Support

Exec approvals—where your agent asks permission before running commands like creating files, sending emails, or executing scripts—also got more robust:

• Timeouts now respect your config, even with slower models (like local models via Ollama).
• Long‑thinking models are less likely to be cut off mid‑task.

On the Ollama side, OpenClaw used to re‑download model metadata every time you refreshed your model list. 4.11 adds caching so it only refetches when something actually changes, making local setups on laptops or Mac minis feel much snappier.

Messaging Fixes Across WhatsApp, Telegram, Slack, and Teams

One of OpenClaw’s biggest strengths is that it connects to almost everything: WhatsApp, Telegram, Slack, Discord, Microsoft Teams, Matrix, Signal, iMessage, and more. But when your agent lives inside all those apps, small bugs add up fast. 4.11 ships a long list of practical fixes.

WhatsApp: Multi‑Account, Reactions, and Images

WhatsApp got three important fixes:

• Multi‑account routing – Messages are now correctly associated with the right WhatsApp account when you have more than one configured.
• Group reactions – Reactions in group chats now work reliably instead of breaking on a separate code path.
• Image editing paths – When someone sends your agent an image and you ask it to edit that image, OpenClaw now correctly tracks where the original file is stored so edits don’t fail.

Telegram: Clean Topic Histories

For Telegram users who rely on topic‑based group chats (threads inside a single group), 4.11 fixes a subtle but painful bug. Previously, a single topic could flip between two different transcript files, splitting the agent’s memory of the conversation. Now it’s one topic, one file, with a clean, continuous history.

Slack and Microsoft Teams Improvements

Slack already received a big upgrade in 4.10, especially around lost messages. 4.11 builds on that:

• The sub‑agent chatter fix mentioned earlier is particularly helpful in Slack, where internal logs were sometimes visible as stray messages.
• Conversations should now feel more like talking to a focused assistant and less like watching a debug console.

Microsoft Teams also gets some love:

• Agents can now react to messages and list reactions in Teams.
• Proper OAuth setup makes it much easier to connect Teams without jumping through confusing configuration hoops.

Control UI, Audio, and Plugin Upgrades

Beyond core stability, OpenClaw 4.11 smooths out the day‑to‑day experience in the web dashboard and plugin ecosystem.

Better Voice and Media Handling

In the Control UI (the web dashboard for managing your agent):

• Voice replies now show up as proper audio bubbles in the chat history and stay attached to the right message instead of disappearing as the conversation moves on.
• There’s support for reference audio, adaptive aspect ratios, and a higher cap on image inputs—especially useful for image‑to‑video and other media‑heavy workflows.

Audio transcription also got fixed for OpenAI, Groq, and Mistral. A DNS change in a previous release had broken multipart audio requests, so agents literally couldn’t “hear” you. That’s now resolved.

On macOS, talk mode had a bug where granting microphone permission the first time would cause it to stall until you toggled it off and on again. In 4.11, you grant permission and it just keeps going.

Self‑Describing Plugins and ClawHub Growth

OpenClaw’s plugin ecosystem (ClawHub) is already huge, with over 44,000 skills. 4.11 makes it much easier to onboard new plugins:

• Plugins can now declare their own requirements—OAuth, pairing steps, config—directly in the plugin manifest.
• Core code no longer has to special‑case each plugin, which means faster, more reliable growth as new skills are added.

This kind of structured, self‑describing plugin system is a big deal if you’re building serious automation stacks or care about security and predictable behavior—very much in line with the thinking behind frameworks like CAI: The All‑in‑One AI Cybersecurity Framework.

Model Benchmarking and OAuth Fixes

OpenClaw 4.11 also tightens up how models are compared and how users sign in.

GPT‑4 vs Claude Opus: Real Agentic Benchmarks

Instead of relying on “vibes” to decide which model is better, OpenClaw now runs formal parity tests between GPT‑4 and Claude Opus 4.6 for agentic tasks. These tests:

• Use shared scenarios across both models.
• Track skipped scenarios and enforce strict evidence checks.
• Generate reports showing which model performs better at which kinds of real agent workflows.

This helps the community make data‑driven choices about which model to use for specific tasks inside OpenClaw.

Codex OAuth and Login Reliability

An annoying but important bug in the OpenAI Codex OAuth flow has also been fixed. Previously, trying to sign in with a Codex account could fail with an “invalid scope” error before you even got past the authorization screen. That single bad line in the OAuth flow made it look like the whole system was broken. In 4.11, the login works as expected.

Why This Release Matters

OpenClaw 4.11 is a textbook example of great software evolution: fewer flashy headlines, more things that quietly stop breaking.

Here’s what it adds up to:

• You keep your AI history – Import your ChatGPT conversations so your new agent doesn’t start from zero.
• Your agents stay online – Smarter provider routing and clean fallbacks mean fewer random failures when a model goes down.
• Your chats stay clean – Sub‑agent chatter is hidden, topic histories are consistent, and messaging bugs are squashed across WhatsApp, Telegram, Slack, and Teams.
• Your workflows scale – Plugins are easier to onboard, local models feel faster, and media workflows are more robust.

All of this is landing in an ecosystem that’s shipping at an incredible pace—multiple releases in just days, with over a thousand contributors pushing code around the clock. If you’re running a business or serious projects and haven’t at least tested OpenClaw yet, 4.11 is a strong signal: AI agents you can actually rely on are no longer a future concept. They’re here, open‑source, and improving every single day.