2026-10-11 16:37 UTC

Nerra claims its available company-context engine maintains source-backed, temporally updated business facts and governed agent write-back over MCP, reducing stale answers and duplicated context integration across enterprise assistants.

state: seedheat: lowuncertainty: mediumknownscott: lowagent-memory knowledge-systems enterprise-contextNerra

What is this?

Nerra presents itself on its website as a company-context engine that builds a shared, living context layer from business tools, rather than leaving each AI tool with separate memory. The supplied Nerra snippet establishes that positioning, but identifies no founders or operators beyond Nerra itself and does not establish a launch date or availability. The case's more specific claims—fact provenance, temporal supersession, governed agent write-back over MCP, and cloud or self-hosted deployment—are not verified by that snippet; other vendors' results discuss similar capabilities but do not substantiate Nerra's implementation or claimed benefits.

Why it matters to Scott

Nerra’s verified positioning repeats the shared company-context layer Scott already argues for in “BI for Soft Data” and “Institutional Memory”; related offerings are already tracked in “PipesHub company data context” and “Microsoft WorkIQ enterprise context,” although no supplied radar page tracks Nerra itself. The supplied evidence does not establish Nerra’s availability, temporal provenance, governed MCP write-back, or practical benefits, so this remains another example of his position rather than a demonstrated implementation advance or consequential new endorsement that would change what he builds or argues.
ip:framework.bi-for-soft-dataip:source.institutional-memory-ebookradar:pipeshub-company-data-contextradar:microsoft-workiq-enterprise-contextradar:concept.enterprise-context
queries asked of Scott's wikis
  • shared agent memory versus per-assistant context silos
  • fact provenance temporal validity supersession in knowledge systems
  • agent-maintained wikis governed write-back approval
  • MCP shared context integration across agent harnesses
  • live business knowledge synchronization versus stale RAG indexes

Measured heat

now 0 pts/hpeak 1 pts/hcomments 0/hpeers p14momentum: steady2 platformsage 577h
points/hour across evidence · reading as of 2026-10-12 02:59:37.977291+11:00 · deterministic, not a model opinion

How the heat travelled

09-17 17:26 (minted)⭐ origin echo-reconstructedNerra offers cloud and self-hosted shared company memory built from business tools, with fact provenance, supersession tracking, MCP access,
Nerra on blog (echo) · attributed from hn.story.49741819 · published time unknown
—
09-17 14:59first on hacker news · published · lag ?Nerra – a company context engine that powers agents with live business context
danielhardoon
—
09-17 14:59amplified on hacker news 👑hn.story.49741819
danielhardoon
peak 2 · 0 comments · 49% of case engagement
10-02 13:28amplified on hacker newshn.story.49933317
msmalina
peak 2 · 0 comments · 49% of case engagement
09-17 15:20our radar first saw it · lag ?discovery anchor: hn.story.49741819—
pace: p23 vs 1032 stories at the 336h mark (now 577h old) — ahead of aafp-commons-signed-agent-notebook (2.0x), behind agentgate-signed-agent-receipts (0.7x)

Evidence (3) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟧 hnNerra – a company context engine that powers agents with live business context
Retrieved article excerpt

Open article · Retrieved 2026-09-17T17:26:05.058121+00:00

[Skip to main content](https://nerra.ai#main-content)

# The company context engine

Every AI tool in your company starts from zero and keeps its own memory. Nerra builds one living context layer from the tools you already use and serves it to Claude, ChatGPT, Cursor and your own agents over MCP.

[Book demo](https://calendar.app.google/9FneEE1Bs7AXFzpR9)[Try for free](https://nerra.ai/get-started)

[Available as Cloud or Self-Hosted](https://nerra.ai#self-hosted)

How Nerra works: your tools feed one company context layer, and every AI agent reads it over MCP

WHAT IT IS

## One shared memory of your company, for people and every agent

Auto-built from your real data, not from documents people forget to update.

### Builds itself from your real data

Decisions, policies, owners, customers: the context that normally lives in Slack threads and people's heads. Nerra reads your tools and keeps the layer current on its own. No wiki to fill in.

### One context for every agent

Claude, ChatGPT, Cursor and your internal agents all read the same thing over MCP. Connect once instead of wiring context into each tool separately.

### Answers you can check, memory that grows

Every fact carries its source and its status: confirmed decision, inferred pattern, or superseded, and by what. Agents write back what they learn, with permissions and human approval.

- Provenance
- State over time
- Conflicts surfaced
- Governed write-back
- Vendor-neutral

HOW IT WORKS

## Whether your workflows are simple or highly complex, Nerra configures itself around your organization's real structure, data, and teams.

01

### Connect your tools

CRM, Slack, Jira, support, email. Nerra reads data across your stack. No migration, no setup overhead. Your team keeps working as usual.

02

### Nerra builds your company context

Nerra maps the decisions, policies, people and customers your company works from. It learns how things actually are, not how a document from last quarter says they should be. The result is a living layer that stays current on its own.

03

### Every agent works from it

Your agents read the layer over MCP and answer from what's true now, with a link to where it came from. When an agent learns something new, it can write it back: a human approves it, and the next agent already knows it.

Nerra is not a wiki, not another chat app, not a per-tool connector. Call it a company brain if you like. What it actually is, is one shared company memory sitting between your data and every agent you run.

## “Why not just connect ChatGPT or Claude to our tools?”

Direct connectors search. They return the document that matches best, and they have no idea whether it still holds.

Thursday: your team changes the refund policy in a call.

Monday: someone asks an agent about refunds.

A connector returns the Notion page, confidently. Nerra answers with the new policy, cites the decision that changed it, and marks the old page as superseded.

Monday: Claude saves it

A decision saved in Claude on Monday is the answer another agent gives on Tuesday, with the source attached

Tuesday: Grok Bot uses it

INSIDE NERRA

## See the product

Three core views. One source of truth about how your company operates.

Nerra Knowledge Library: the company brain, with provenance, inbox of changes and known gaps

### A memory that knows what's true now

Your company's rules, decisions, people and context, built from real data. Inbox holds what changed and needs a decision. Gaps shows what Nerra still doesn't know, in plain view.

Nerra agent access control: scoped read and save rights per AI agent

### Governed access, not a free-for-all

Scoped read and save rights per agent. An agent never sees more than the person who connected it.

An agent saving a decision back into Nerra's shared company memory from Claude

### Agents write back what they learn

Save something once in Claude. Every other agent knows it next time, with the source attached.

DEPLOYMENT

## Your company memory outlives your model choice

Swap the model, keep the memory. Nothing about Nerra ties you to one vendor.

Start for freeSame product, same price

### Cloud

Up and running in minutes. Zero maintenance, always latest.

Your perimeterYour tools

Our infrastructureNerra

Your tools connect to Nerra running in our cloud.

[Start now](https://control.nerra.ai/signup)

Start for freeSame product, same price

### Self-Hosted

Your data never leaves your perimeter. Your server, your LLM key, ~15-minute install. Best for teams with strict data policies.

Your perimeter

Your toolsNerraYour LLM key

Everything runs on your server. Nothing leaves.

[Get access](https://nerra.ai/self-hosted)

Policy requires data on your infrastructure?Self-Hosted.OtherwiseCloud.

Both run the same Nerra. Never used for training, switch anytime, and your knowledge exports with you.

## See what your company context engine can do

Connect your tools. Ask about a decision from last week and see where the answer came from. Fifteen minutes, no process changes.

[Book demo](https://calendar.app.google/9FneEE1Bs7AXFzpR9)[Try for free](https://nerra.ai/get-started)
danielhardoon20
🟧 echo.blog ⭐Nerra offers cloud and self-hosted shared company memory built from business tools, with fact provenance, supersession tracking, MCP access,Nerra——
🟧 hnSlowly, then all at once: AI agents that know how a company worksmsmalina20

Interpretation history

Decision trace