When we launched Ape Space at the end of December, the bet was simple: Maybe AI should do more than just spit out answers, write code, or cosplay as an intern with a bash loop.

What we set out to create, is a new kind of thinking environment. A system that helps people hold complexity, shape ideas, move through ambiguity, and build better things with more coherence, more momentum, and less mental spaghetti.

That was the thesis. And then we launched.

Now, about two and a half months later, Ape Space just made a big leap forward.

Meet APEx: The Intelligence Of The Whitespace

The biggest new character in this release is APEx.

APEx is not “another chatbot.” The world has enough of those already. APEx is our new whitespace cognitive partner: the agent designed to drive the actual intelligence of the whitespace. And help you crack your toughest cognitive problems.

It is built on our own blend of OODA + Ralph. In plain English: it knows how to observe, orient, decide, and act — but it also knows how to stay in motion, keep context alive, and keep work progressing without collapsing into either chaos or sterile over-analysis.

We optimized APEx for the kind of work most AI systems are still oddly bad at once things get messy: strategy, transformation, product development, creative writing, direction-setting, reframing, synthesis, and the long middle of complex thinking.

Not just “answer this prompt.” More like: help me understand what game I am in, what matters, what changed, what is stuck, what is missing, and what to do next. That’s a very different job.

Context Is No Longer A Pile. It’s A Fabric.

We have also expanded the Context Fabric with new Domain, Theme, and User context types.

Most AI systems treat context like a bucket. You throw stuff in. The model forgets half of it. Then you repeat yourself. Then you resent technology.

We do not think that is good enough.

In Ape Space, context is a dynamic fabric of information that agents can search, read, write, share, and build on together. That means coherence is no longer accidental. It becomes architectural.

And yes: this now includes User context. Meaning, the whitespace can remember details you share about yourself and use them to become more helpful over time. Your preferences, your goals, your patterns, your style, your operating reality. Not in a creepy way. In a useful way. Like software finally discovering that continuity might matter.

This is part of our larger conviction: context engineering is not a side feature. It is the work.

We’re Giving The Agents A World-Model

This may be our favorite part of the release: the Concept is how we stopped letting agents roam around the whitespace like caffeinated raccoons.

Each whitespace now carries a codified, dynamic model of what it represents: intent, strategy spine, priorities, problem frame, stakeholder map, and the deeper structure of the work itself. It is persistent. It is interactive. And it is accessible to the agents.

That means APEx and other agents are no longer operating on vibes and whatever happened to fit inside the latest prompt window. They can reason about the whitespace as a living system. They can inspect the Concept, suggest updates, extend it with new information. APEx is designed to work with the concept, challenge weak assumptions, and strengthen the frame as the project evolves.

As your ambition grows, the world model grows with it.

Ape Space Can Now Make Things, Not Just Think And Write About Them

We now supports full creative tools, including image and video generation.

So yes, the whitespace can write. But it can now also turn ideas into visual and moving outputs.

That matters because creative and strategic work does not live in one medium. Sometimes the fastest route to clarity is a paragraph. Sometimes it is a frame. Sometimes it is a visual reference. Sometimes it is a motion sketch that makes the idea suddenly obvious.

We want Ape Space to support actual creative throughput, not just eloquent text production. We currently support image and video models from Google (Gemini, Veo & Nano Banana) and OpenAI (GPT Image & Sora 2), with support for more generative AI coming soon. 

The Foundation

All of this builds on the foundations we already laid. Ape Space is not one agent, but the first multi-agentic co-cognitive system we know of that uses a multitude of agents inside a deterministic harness to help people think better.

Under the hood, Ape Space now runs on the fully updated APE2 framework. What it means in practice is this: agents inside Ape Space now behave like they belong to the same species. They share a unified agent experience. They work with the same prompting and reference capabilities. They can use skills and tools in a more consistent way. They support multi-model execution. And they come with full transcript observability and historic transcript lookup.

Ape Space can now look back through prior transcripts not just as chat messages, but as full cognitive traces: tool calls, reasoning steps, model responses, decisions, and execution paths. The full agent trail. Not just what happened, but how it happened.

We are building an exoskeleton for thinking.

And APEx is just getting started.