Big Update today - OpenClaw 2026.4.7 just dropped.

Two days after the last release.

Their tagline for this one?

"Because trust me bro is not a knowledge system."

But theyre not wrong. Heres whats new:

Memory-Wiki

This is the one Im most excited about.

Your AI agent now has persistent knowledge storage. Not just conversation memory that fades. An actual wiki that your agent builds and references over time.

It learns your business. It remembers your preferences. It stores facts, processes, and context permanently.

This is what separates a chatbot from an actual AI Employee.

A chatbot forgets you exist after every conversation.

An AI Employee with memory-wiki knows your business better every single day.

This is essentially what I built with the Modulizer a few weeks ago. Except now its built directly into OpenClaw at the infrastructure level.

OpenClaw Infer

A new first-class inference hub. One command to run provider-backed workflows across models, media, and tasks.

Instead of configuring each provider separately, you now have a unified inference layer that routes to the right model for the right job automatically.

Music + Video Editing

Not just generation anymore. Editing.

Your agent can now edit video and music, not just create it from scratch. This takes the multimedia capabilities from last week to a completely different level.

Session Branch/Restore

Your agent can now branch a session, try something risky, and restore back to the previous state if it doesnt work.

Think of it like a save point in a video game. Try something. Didnt work? Restore. No damage done.

For anyone running agents on critical tasks, this is a game changer.

Webhook-Driven TaskFlows

Your agent can now be triggered by external events automatically.

A form gets submitted on your website? Your agent starts working.

A payment comes through Stripe? Your agent processes it.

An email hits a specific inbox? Your agent handles it.

Event-driven AI. Not just on-demand. Reactive.

Now let me talk about Gemma 4.

Because Ive been doing deep research on this model and I need everyone to pay attention.

Gemma 4 is Googles latest open-source model and it is hands down the most capable model Ive used for local hosting.

And heres the part that changes everything...

Its multimodal.

That means it doesnt just read text. It sees images. It processes documents. It understands screenshots, photos, diagrams, PDFs.

Running locally. On YOUR machine. No API. No subscription. No one can cut you off.

Think about what that means after Anthropics email last week.

You can run a model that sees AND reads on your own hardware. For free. Forever.

Ive been testing it extensively and the quality is shocking for a local model.

Its not just "good for open source." Its genuinely competitive with frontier models on a lot of tasks.

Especially when you pair it with the right system prompts and workflows.

For anyone in my AI Money Group whos been building AI Employees with OpenClaw...

Gemma 4 running locally through Ollama is your ultimate insurance policy.

Your primary agent runs GPT-5.4 through your subscription. Fast and powerful.

Your fallback runs Kimi K2.5 through API. Cheap and reliable.

Your local backup runs Gemma 4 through Ollama. Free and completely under your control.

Three layers. Zero single points of failure. And now with multimodal support at every level.

Nobody can send you an email and shut off a model that lives on your own machine.

This release also adds Arcee Trinity support, the open-source model I posted about earlier thats outscoring GPT-5.4 on average benchmarks.

More models. More options. More freedom.

Thats 8 major releases since March 22nd and were only on April 7th.

Most software companies ship monthly.

OpenClaw is shipping faster than most people can read the release notes.

Via Jeff J Hunter
Big Update today - OpenClaw 2026.4.7 just dropped. Two days after the last release. Their tagline for this one? "Because 'trust me bro' is not a knowledge system." 😂 But they're not wrong. Here's what's new: 🧠 Memory-Wiki This is the one I'm most excited about. Your AI agent now has persistent knowledge storage. Not just conversation memory that fades. An actual wiki that your agent builds and references over time. It learns your business. It remembers your preferences. It stores facts, processes, and context permanently. This is what separates a chatbot from an actual AI Employee. A chatbot forgets you exist after every conversation. An AI Employee with memory-wiki knows your business better every single day. This is essentially what I built with the Modulizer a few weeks ago. Except now it's built directly into OpenClaw at the infrastructure level. 🔮 OpenClaw Infer A new first-class inference hub. One command to run provider-backed workflows across models, media, and tasks. Instead of configuring each provider separately, you now have a unified inference layer that routes to the right model for the right job automatically. 🎬 Music + Video Editing Not just generation anymore. Editing. Your agent can now edit video and music, not just create it from scratch. This takes the multimedia capabilities from last week to a completely different level. 📋 Session Branch/Restore Your agent can now branch a session, try something risky, and restore back to the previous state if it doesn't work. Think of it like a save point in a video game. Try something. Didn't work? Restore. No damage done. For anyone running agents on critical tasks, this is a game changer. 🔗 Webhook-Driven TaskFlows Your agent can now be triggered by external events automatically. A form gets submitted on your website? Your agent starts working. A payment comes through Stripe? Your agent processes it. An email hits a specific inbox? Your agent handles it. Event-driven AI. Not just on-demand. Reactive. 🤖 Now let me talk about Gemma 4. Because I've been doing deep research on this model and I need everyone to pay attention. Gemma 4 is Google's latest open-source model and it is hands down the most capable model I've used for local hosting. And here's the part that changes everything... It's multimodal. That means it doesn't just read text. It sees images. It processes documents. It understands screenshots, photos, diagrams, PDFs. Running locally. On YOUR machine. No API. No subscription. No one can cut you off. Think about what that means after Anthropic's email last week. You can run a model that sees AND reads on your own hardware. For free. Forever. I've been testing it extensively and the quality is shocking for a local model. It's not just "good for open source." It's genuinely competitive with frontier models on a lot of tasks. Especially when you pair it with the right system prompts and workflows. For anyone in my AI Money Group who's been building AI Employees with OpenClaw... Gemma 4 running locally through Ollama is your ultimate insurance policy. Your primary agent runs GPT-5.4 through your subscription. Fast and powerful. Your fallback runs Kimi K2.5 through API. Cheap and reliable. Your local backup runs Gemma 4 through Ollama. Free and completely under your control. Three layers. Zero single points of failure. And now with multimodal support at every level. Nobody can send you an email and shut off a model that lives on your own machine. This release also adds Arcee Trinity support, the open-source model I posted about earlier that's outscoring GPT-5.4 on average benchmarks. More models. More options. More freedom. That's 8 major releases since March 22nd and we're only on April 7th. Most software companies ship monthly. OpenClaw is shipping faster than most people can read the release notes. Via Jeff J Hunter
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