Memrix

Your AI remembers conversations. Memrix remembers your project.

Stop rebuilding context every time you switch chats, AI tools, or teammates. Memrix keeps your project's decisions, intent, and working state continuously in sync, so every new session starts where your project left off.

Manav

A transparent Evolv Studio build. Early, technical, and intentionally shaped with the builders who already feel the context problem.

You keep a memory file
You paste context into new chats
You switch tools for different thinking

The problem

Every serious AI workflow eventually becomes a context-management workflow.

The pain is not that AI tools are weak. It is that your project has memory, while most tools only inherit the last conversation you managed to paste in.

The first answer is fast. The tenth reset is expensive.

Every new chat starts clean, while your project has weeks of decisions, constraints, and half-formed direction behind it.

Your context is scattered across tools.

Claude has one version. ChatGPT has another. Cursor sees the repo, but not always the reasoning that led to it.

Docs become performance art.

You write current_state.md, memory.md, notes, summaries, and handoff docs just to make the next AI session useful.

Tool switching breaks momentum.

The right model for debugging is not always the right model for planning. Switching should not mean starting over.

The AI forgets the why.

It may remember the last prompt, but not the product call, tradeoff, rejection, or community signal behind it.

Public validation

The strongest signal was how few people argued the problem away.

Founders, engineers, PMs, and AI builders mostly responded by explaining how they already work around it.

0k+

public impressions around the problem

0+

technical workflow discussions

many

homegrown memory systems shared

DS

Dheeraj Sachdeva

MarTech & Operations Leader

Coding agents always consider the codebase as the source of truth. Documentation should not just be passive docs; it should hold the project's live working state.

4712
HC

Hana Carqueja

Data Leader

State, decisions and testing should all live separately. A single massive context dump doesn't scale. Different memory types need structured separation.

8321
DH

David Ingemar Hedin

Product Development Manager

Continuously document manually what matters. Builders understand this, but they hate maintaining it manually. Automation should synchronize context silently.

6215
FoundersEngineersPMsAI Builders

What we learned

People are not waiting for memory. They are already maintaining it by hand.

Memrix starts by respecting the workflows builders invented under pressure.

Builders already made their own memory systems.

People showed us markdown files, Notion pages, custom scripts, Claude Projects, repo docs, and rituals around context handoff.

The problem is not one AI tool.

The pattern appears across Claude, ChatGPT, Gemini, Cursor, Manus, and whatever new tool becomes useful next month.

Memory is emotional, not just technical.

Losing context feels like losing momentum. Re-explaining a project makes builders feel like their tools are not really with them.

Teams need decisions, not transcript dumps.

A persistent memory layer has to preserve intent, constraints, open questions, and product direction instead of archiving everything.

The workflow has to stay close to creation.

If capturing memory becomes another chore, people will stop doing it. The Chrome Extension MVP starts where builders already work.

Early users want to shape the primitive.

The most useful conversations were not objections. They were builders explaining the exact workflows Memrix should learn from.

Introducing Memrix

A persistent memory layer for projects, not chats.

Memrix is being built to capture the durable parts of a project: intent, decisions, constraints, community signals, roadmap changes, and working context. The goal is simple: move between AI tools without paying the re-explanation tax every time.

Project

Memrix

Persistent project memory

Claude
ChatGPT
Gemini
Cursor

Early access

Start with your workflow. The email comes after the insight.

The assessment opens in a focused space so the page disappears for a moment and the problem becomes about your actual workflow.

Build in public

We're building Memrix with the same workflow Memrix is designed to automate.

Every community insight, product decision, mistake, feature, and roadmap update becomes part of the project memory. The product is not hidden behind a launch curtain. It is evolving in public.

Community

01

Project Memory

02

Decision

03

Product

04

Content

05

That loop matters because Memrix is about trust. If we claim project memory is valuable, our own project should be the first place where memory is captured, questioned, and improved.

Public build log

The roadmap is shaped by what builders actually say.

A landing page should not pretend the product is fully mature. This is where the public signal turns into product direction.

Day 1

100k+ impressions

Problem shared publicly

The initial framing resonated because builders recognized the repeated context reset immediately.

Day 3

160+ technical discussions

Workflow replies studied

People described their current fixes: memory files, manual summaries, project docs, and AI-specific workarounds.

Day 5 (Current)

Current

Landing page and assessment

The public page now starts with workflow recognition before asking anyone for an email.

Next

In build

Chrome Extension MVP

The first product surface will focus on capturing useful project context without interrupting the builder.

What's next

Small public steps toward a durable memory primitive.

Complete

Public problem validation

Current

Landing page

Next

Founding tester cohort

Planned

Chrome Extension MVP

Planned

Cross-tool memory layer

Manav

Founder note

Why I'm building this

Memrix started from a repeated frustration: the work was moving faster than the memory around the work. Every AI tool made parts of building easier, but the project itself kept fragmenting across chats, docs, repos, and decision trails. The public response made it clear this was not just my workflow. Builders were already inventing memory systems because the need was obvious. Memrix is my attempt to turn that messy ritual into a calm, persistent layer that helps AI tools understand the project they are joining.

Questions

Early product, clear intent.

No. The point is not to replace Claude, ChatGPT, Gemini, Cursor, or future tools. Memrix is being built as the project memory layer that can travel with you across them.

Founding testers

Help shape the memory layer you already wish your AI tools had.

Memrix is early on purpose. The best version will come from builders who can point to the exact moment project context breaks.

Manav

Connect with Manav

Follow the build journey, share feedback, or just say hi.