Nerra auto-builds a living context layer from the tools you already use and serves it to Claude, ChatGPT, Cursor and your own agents via an MCP. Agents write back with sources and approval.
Every AI tool starts from zero and keeps its own private memory. Claude nails a plan in one chat, an agent ships work in another, the real decision lands in Slack, sales notes sit in Granola… and next week every AI starts from zero again.
What’s missing is shared company context they can both read and write.
I ran into this inside my previous company, built an internal tool for it, and after I sold that company I started building Nerra properly.
Nerra is a company context engine. Connect the tools you already work in, it builds a living context layer and keeps it current, and every agent reads the same thing - Claude, ChatGPT, Cursor, your own. Anyone can write results back, with provenance, so the company compounds.
🔥 The knowledge shows not just where it came from, but what kind of thing it is:
a decision someone confirmed,
a pattern we inferred,
one person's working style,
or a fact that used to be true and got superseded - and by what, and when.
Agents can write back too (for example the results of the work they have done), with a source and a human approval.
Built for founders and CTOs running AI-native teams.
We don’t train on your tenant data. Cloud or self-host.
I'm genuinely curious, where does your context get stuck today? ✨🚀
@emilsteaparty
👋 Hey Product Hunt!
Emil here, founder of Nerra.
Every AI tool starts from zero and keeps its own private memory. Claude nails a plan in one chat, an agent ships work in another, the real decision lands in Slack, sales notes sit in Granola… and next week every AI starts from zero again.
What’s missing is shared company context they can both read and write.
I ran into this inside my previous company, built an internal tool for it, and after I sold that company I started building Nerra properly.
Nerra is a company context engine.
Connect the tools you already work in, it builds a living context layer and keeps it current, and every agent reads the same thing - Claude, ChatGPT, Cursor, your own. Anyone can write results back, with provenance, so the company compounds.
🔥 The knowledge shows not just where it came from, but what kind of thing it is:
a decision someone confirmed,
a pattern we inferred,
one person's working style,
or a fact that used to be true and got superseded - and by what, and when.
Agents can write back too (for example the results of the work they have done), with a source and a human approval.
Built for founders and CTOs running AI-native teams.
We don’t train on your tenant data. Cloud or self-host.
I'm genuinely curious, where does your context get stuck today? ✨🚀
— Emil