Our Story

We built this because we were tired of repeating ourselves.

ContextStream wasn't a "market opportunity." It was a survival mechanism for our own sanity.

The "Context Amnesia" Problem

You know the feeling. You open your IDE, ready to crush a feature. You fire up your AI assistant, paste a snippet, and ask a question.

"I don't have context on that function. Can you share the file?"

So you find the file. Then the dependency. Then the config. By the time the AI understands what you're trying to do, you've spent 15 minutes context-switching and lost your flow state.

And it's worse with newer models. They have "huge context windows," yet they still hallucinate or forget decisions made three messages ago. They miss the why behind the code.

The Onboarding Nightmare

Then there's the team. A new developer joins. "How do I set up the environment?" "Why did we choose Qdrant over Pinecone?" "Where are the docs?"

The answer is usually "It's in the Slack history" or "Ask Dave." But Dave is busy. And the docs are outdated.

We realized we were spending more time managing context—for humans and AIs—than actually building product.

The Solution: A Second Brain for Your Codebase

We decided to fix it. We built ContextStream to be the persistent memory layer that your tools lack.

  • Workspace-Level Memory: It remembers decisions across projects.
  • Zero-Config Onboarding: Open the repo, and the context is there.
  • Agent-Mediated Handshakes: No more guessing. The AI knows where you are.

We're hustling every day to make the developer experience seamless. Because we're developers too, and we just want to build cool stuff without the friction.