Memory
Institutional memory for engineering teams

Your team's
knowledge lives
everywhere.

Code comments. Slack threads. Old emails. Confluence pages nobody reads.
LivingDocs connects every source of institutional knowledge into one searchable layer — powered by Claude. Your engineers stop guessing and start shipping.

Works with
GitHub Slack Microsoft Teams Confluence Email Claude
The cost of knowledge loss
42%
of enterprise knowledge never gets written down — it lives in people's heads
$47M
average annual cost of poor knowledge management per large enterprise
12h
per week employees spend searching for information they can't find
The problem

Knowledge loss is costing your team every day

The numbers are uncomfortable. Here's what the research says about what your team is quietly losing.

42%
of enterprise knowledge is never written down — it lives in people's heads
Panopto, 2019
$47M
average annual cost of poor knowledge management for large enterprises
IDC
12h
per week employees spend searching for information they can't find
McKinsey Global Institute
9mo
6–9 months salary — cost of replacing a senior engineer who takes knowledge with them
SHRM
Every time a senior engineer leaves, an incident happens at 2am, or a new hire joins — your team is searching across Slack, Confluence, GitHub, and email trying to piece together context that should take seconds to find.
How it works

One question.
Every answer.

LivingDocs indexes your code documentation, Slack channels, Microsoft Teams conversations, and email threads into a single knowledge base. Powered by Claude, it understands context — not just keywords.

01
Connect your sources

GitHub, Slack, Teams, email, Confluence — connected in minutes, not weeks. No new infrastructure required.

02
Everything gets indexed

Code comments, architectural decisions, incident threads, onboarding emails — all searchable from one place.

03
Ask Claude anything

Claude answers from your actual team's conversations and code — not generic training data.

"Why does the payment service use async processing?"
Features

Built for engineering
teams at scale

Stale doc detection

Know exactly which documentation hasn't kept up with the code. Staleness scored 0–100% per file.

Knowledge gap analysis

Find source files with zero documentation, ranked by git commit frequency. Prioritise what matters most.

Departure risk alerts

Bus factor analysis across your entire codebase. Alerted when one engineer owns 60%+ of a critical file — before they hand in their notice.

Slack & Teams connector
Pro

That architectural decision made in a Slack thread 18 months ago? Indexed, searchable, retrievable in seconds.

Email connector
Pro

Engineering decisions buried in email chains become part of your knowledge base automatically. Gmail, Outlook, any IMAP provider.

Confluence sync
Pro

Updated docs written back to Confluence automatically. No copy-paste. No drift. Pages created if they don't exist.

Pricing

Start free. Scale
when you're ready.

Free
$0
forever

For individual developers

Scan repo for stale docs
Natural language queries
Claude-powered suggestions
Detect knowledge gaps
Departure risk alerts
C#, TypeScript, JS, Python, Go
Enterprise
Custom
annual or one-time

For large organisations

Everything in Pro
Offline / air-gapped deployment
Azure OpenAI / on-prem LLM
Self-contained binary
Priority support & SLA
Custom invoicing
Integrations

Works where your
team already works

Claude

AI engine for all queries and suggestions. Context-aware, not keyword-based.

GitHub

Source of truth for code and git history. Commit frequency drives gap prioritisation.

Slack

Index channel conversations and decisions. Threads grouped so context is preserved.

Microsoft Teams

Graph API integration, no bot needed. Requires Azure AD with ChannelMessage.Read.All.

Email / IMAP

Gmail, Outlook, any provider. Engineering decisions buried in email, made searchable.

Confluence

Read and write back automatically. No copy-paste. Pages created if they don't exist.

VS Code

GitHub Copilot agent mode support. Drop in a .vscode/mcp.json and all tools are available.

Claude Desktop

Full MCP server integration. Scan, query, and update docs from the Claude chat interface.

Service level

SLA & Support

Response times

  • Bug reports — 48 hours
  • Security issues — 24 hours
  • Feature requests — 5 business days
  • Enterprise — 12 hours

Uptime

  • Runs as a local MCP server — no hosted infrastructure
  • NuGet availability follows NuGet.org SLA

Last updated: 2026-05-22 · Novaders LLP

Stop losing knowledge

Stop losing knowledge
every time someone
leaves a meeting.

LivingDocs gives your engineering team institutional memory — the kind that doesn't walk out the door, sit unread in Confluence, or get buried in a Slack thread from 2023.