Engineering memory for complex software

The end of guessing how your product works.

Muninark connects your repositories with the tickets, decisions and deployment history that explain them. Answers cite their sources and say what is missing, for your engineers and for the AI tools they work with.

Source-linkedHistory-awareYour environment

Why does invoice rounding differ between v4 and v6?

CITED EXAMPLE
as recorded for v4.8as recorded for v6.2

v4 retained a rounding exception for existing contract terms. The release record says it was removed in v6.0 after migration completed.

Open the answer and its sources

Why was the export limit set to 500?

INSUFFICIENT

The available record does not explain the original decision. The gap stays visible.

ILLUSTRATIVE ANSWERS · SYNTHETIC DATA

Built around the work

Find the history you need for the next decision.

For long-lived products with many repositories, parallel releases and context held by a handful of people.

01

Understand the change

See which modules may be affected and which decisions or business rules constrain the change. Take the supporting records and unanswered questions into review.

Plan a change
02

Recover the reasoning

Find the ticket, decision or commit that explains an unusual behavior. Give new engineers a way to check the explanation themselves.

Recover the historical why
03

Support the right release

Check how behavior changed between releases and which records apply to the customer. Identify the deployment details you still need.

Explore version context
Beyond a single repository

A decision can affect more than one repository.

An invoice calculation may depend on an old contract exception. You may need a decision record and the history of another service to understand it.

Muninark connects those records in a shared knowledge graph. It keeps source references and changes over time, so you can check an answer against the history and identify missing evidence.

See how the platform works

ONE PRODUCT · CONNECTED RECORDS

DECISIONKeep the rounding exceptionADR-042 · contractual behavior
REPOSITORY ACalculation serviceImplements the exception
REPOSITORY BReporting serviceDepends on the result
RELEASE RECORDA different rule from v6.0Migration completed · exception retired

Illustrative relationships on synthetic data.

The substrate

Store what you already keep. Connect all of it.

A multi-stage ingestion pipeline turns the record your organization already keeps into one governed, temporal knowledge graph. People and AI agents read the same graph under the same access rules.

01 · Sources
commitswork itemsdecisionsdocumentswikisrecordingsdeploy config
02 · One graphTemporal knowledge graphentities · relationships · validity in timeretrieval: graph · full-text · vector
03 · Readers
Your peoplethrough MCP-capable assistants and coding tools
Your AI agentsMCP · skills · supervised processes
For people and their AI tools

Use Muninark from your existing tools.

Start with the tools your team already uses. Each answer gives an assistant cited facts to work from where it would otherwise guess. Add repeatable workflows as the need grows.

01 · ACCESS

Ask through MCP

Bring evidence into a compatible assistant or coding tool. The deployment controls which sources and operations are available.

02 · REPEAT

Use a focused skill

Follow a defined procedure for an investigation, change review or onboarding task, with explicit inputs and limits.

03 · COORDINATE

Add a supervised process

Coordinate larger tasks with named roles and review steps. The process layer is optional.

Who it is for

Most of what a product knows about itself sits in the record of how it came to be.

The current source holds only part of it. These are the people who need the rest.

Teams inheriting a legacy system

The code still runs, but the reasons behind it left with the people who wrote it. Muninark recovers what those people did write down, with dates and sources, and marks where the record runs out.

Investors and acquirers in due diligence

The code together with the history of how it came to be is worth more than the latest version alone. Muninark turns that history into evidence an outside party can query.

Vendors whose customers run different versions

Your v4 customer and your v6 customer ask the same question and need different answers. Muninark keeps history with its dates, so support can check what the record says for each release. Which release questions are supported is agreed during integration.

Engineering teams in regulated industries

An auditor asks why a behavior exists and who decided it. Muninark answers with the decisions, tickets and commits on record; where the trail is incomplete, the answer says what is missing, or that the evidence is insufficient.

Teams refactoring or rewriting old code

A rewrite fails on the behaviors nobody knew were load-bearing. Muninark shows which quirks have a recorded decision behind them and which records a change touches. What has no record stays visibly unknown.

Organizations losing context to turnover

Every departure takes context. Muninark keeps the answers with their sources, so new engineers can ask the graph before they ask a senior colleague.

Security & deployment

Choose where your data and models run.

Run Muninark in your environment. Decide who can access the sources and which model services can receive data.

  • Access follows policy.
    Configure identities, source scopes and permitted operations.
  • Evidence remains inspectable.
    Retain source references and an audit record of served requests.
  • Model routing is a decision.
    Agree which services receive data, where they run and who operates them.
A focused evaluation

Evaluate it on work your team already does.

Choose a recurring engineering task and the sources it depends on. Ask your experts to assess the answers against the way they work today.

01

Choose the problem

02

Connect the record

03

Evaluate the answers

04

Decide with evidence

Which part of your product takes too long to explain?

Tell us about a recurring question and the sources your team uses. We can help define a pilot around it.

Discuss your use case