Install on the Chrome WebstoreClick Coere
It sits at the edge of any AI chat you already have open.
Never explain your
project twice
Unified memory for AI. Your context follows you into every model, so a new chat picks up where the last one left off.
You switch models, your context stays behind
Same work, same two tabs. One way you paste your project in again. The other way Coere hands the next model a capsule.
Without Coere
Tokens used
10,400
Time used
4m 12s
ChatGPTClaudeclaude.ai/new
PDFproject-notes.pdfTXTschema-dump.txt
Here is everything again. The project is Coere, a Chrome extension for unified AI memory. Front end is Next.js on Vercel, auth and storage are Supabase with RLS enabled, retrieval uses in-browser embeddings so nothing leaves the machine. We already ruled out a server side index, and the picker is a sidebar rather than a modal. The destination model does the compression as part of the request. Attached are the notes and the schema. Constraints: store as little as possible, the whole handoff has to finish in under five seconds, and every agent keeps its own interface…
Reply to Claude
With Coere
Tokens used
240
Time used
5s
ChatGPTClaudeclaude.ai/new
Capsule from 4 chats
- ChatGPT
- Claude
- Perplexity
- Meta AI
- Chrome extension, Next.js and Supabase with RLS
- Embeddings run in the browser, nothing stored
- Sidebar picker, destination model compresses
- Next: the auto-run handler
Ask anything
Four chats you already had
- Extension architectureChatGPT
- Supabase schema and RLSClaude
- Embedding models comparedPerplexity
- Onboarding copy passMeta AI
One capsule for the new chat
Capsule from 4 chats
- Goal: ship the Chrome extension MVP
- Stack: Next.js, Supabase with RLS
- Limits: local retrieval, store nothing
- Next: the auto-run handler
Total tokens without Coere
10,400
Tokens used with Coere
240
Tokens saved
10,160
Time saved
4m 7s
Stop typing, start doing
Coere is a unified memory layer for AI. Instead of re-explaining your project to a fresh chat, you send a compact capsule of what actually matters.
Pick what travels
Choose past conversations, or type your goal and let Coere choose.
It lands and runs
A small capsule plus your instruction, sent for you.
Fewer tokens
A capsule is a fraction of a pasted transcript. Every switch costs less, in every model.
Less time
No scrolling back through old chats to rebuild what you already worked out.
Nothing lost
Decisions and constraints travel with you, not just your last message.
Why teams and people use Coere
AI spend keeps climbing, and a large share of it is context being sent again and again.
For you
- You spend today
$372per year
The average AI subscriber pays around $31 a month.
- Coere gives back
34 hoursper year
Ten model switches a week, none of them retyped.
One subscription goes further when you stop paying to send the same context again.
For tech teams
- A company spends today
$85,521per month
Average enterprise spend on AI apps in 2025, up 36% in a year.
- Coere could save
$205,000per year
If a fifth of that spend is context the team already sent.
Coding agents alone run $150 to $250 per developer each month. Repeated context is the cheapest line item to cut.
Our team
Coere comes from the Latin cohaerere, to connect.
Michelle Dong
Co-founder, CEO
Haas School of Business, UC Berkeley
Edison Law
Co-founder, CTO
Engineering, UC Berkeley
Your next chat already knows
Install Coere once. Every AI you open starts with the context you have already given.