Relevance over volume.
More context isn't automatically better context. We care about what helps with the question in front of you.
ABOUT CONTEXARA AI / BUILT FOR CONTINUITY
Your work moves forward.
Your context should too.
Good work doesn't happen in one conversation. CTX carries useful memory across your connected AI tools, so the next conversation can build on the last.
A cognitive context layer. Not another place to start over.
01 / WHY WE EXIST
Continuity is the missing piece.
You did the thinking.
You shouldn't have to repeat it.
A decision takes shape in one conversation. Its constraints emerge in another. Switch tools, and you're often left reconstructing the reasoning yourself.
CTX exists to make that continuity part of the system. Not by handing over every past conversation, but by bringing forward the context that's useful now.
“The lasting value of AI should grow with the person using it.”Our founding belief
From conversations
to useful context.
Capture the work. Connect the meaning.
Recall what matters for the next question.
START WITH THE SOURCE
Let useful work become memory.
CTX captures conversations from supported tools. The starting point is the work itself: what was said, what was decided, and the context around it.
Read about capture ↗- Input
- Conversations from supported tools
- Why it matters
- Less manual reconstruction of earlier work
- Boundary
- Capture depends on the tool and its setup
Start with supported tools such as Claude Code, Cursor, and Codex. Check the docs for setup and availability ↗
03 / OUR PRINCIPLES
The standards we're building toward.
Useful memory.
Earned trust.
Evidence over guesswork.
Memory should stay connected to the conversations it came from. Understanding needs a source, not just a confident answer.
Continuity across tools.
Your work shouldn't be defined by a single interface. Useful context should travel between the tools you choose to connect.
Trust through clarity.
Clear controls, honest limitations, and understandable behavior are responsibilities—not finishing touches.
04 / WHAT'S NEXT
Make experience count.
Memory is the starting point.
Learning from experience is the ambition.
Carry context forward.
Capture conversations, organize memory with source evidence, and retrieve relevant context for later questions.
Explore current capabilities ↗Carry lessons forward.
Turn earlier work into useful guidance: what was tried, what happened, and when that lesson still applies.
An ambition we're researching—not a promise of a shipped feature.
Follow our thinking ↗GO A LITTLE DEEPER
MEMORYThe thinking behind CTX.
Why context windows aren't memory
Read this ↗AGENTSWhy AI coding agents forget between sessions
Read this ↗Building with AI? Thinking about memory?
We'd like to hear what you're working on.