One source of truth
for everything your agents must follow —
controlled by humans, enforced by agents.

architrace is the governing context for agentic engineering.

It turns the decisions, constraints, guidelines, security policies and shared domain language scattered across your documentation into one model your agents build and review against — including the decisions you never formally wrote down.
01 SCATTERED SOURCES
02 ARCHITRACE ENGINE
03 GOVERNING CONTEXT · USED BY
engine
architrace · context mesh
supersede link constrain define
Get in touch See how it works
The problem

Your governing context is everywhere.
Just not in one place.

Your decisions, constraints, guidelines, security policies and domain language live in Confluence spaces, wikis, ADRs, CLAUDE.md, Cursor Rules, Copilot Instructions, AGENTS.md, READMEs, infrastructure docs and architecture.adoc. Each format has a purpose. Together they don't form a whole — and most of it was never written for an agent to read.

01

AI agents only see slices.

What an agent reads from CLAUDE.md, Cursor Rules, or Copilot Instructions is a parallel, ecosystem-specific subset of what should actually apply. Infrastructure and business decisions, cross-project standards, security policies, and anything beyond the current repo don't reach them at all — and none of it is in agent-consumable form to begin with.

02

Contradictions stay invisible.

When a wiki page, an ADR, and a rule file describe the same thing differently, nobody notices systematically. The first person to trip over it is a reviewer in a concrete PR. Too late.

03

CI has no unambiguous reference.

A pipeline that checks conformance needs one source of truth. Without it, reviews stay manual and PR queues grow faster than they clear.

Sound familiar?

See how architrace fixes it
How it works

Three jobs, one system.

architrace sits between your scattered sources and the systems that consume governing context. It consolidates, curates, and serves — so agents, CI, and reviewers read from the same base.

01 consolidate

Every source, one model.

architrace reads Confluence spaces, architecture and code repos, ADR markdown or AsciiDoc, infrastructure docs and agent rule files — at every level, from org-wide standards to service-local detail. From them it extracts decisions, constraints, guidelines, security policies and shared domain language as first-class entities, each linked back to its origin — including the decisions and rules that were never formally recorded, only implied across your docs. Your documentation stays where it is.

confluenceadr/*.mdinfra/*.tfpolicy.mdglossary
02 curate

First-class entities, not just pages.

Every entity gets status, scope and relationships across all sources. Higher-level decisions flow down to the repos they govern; links surface across projects. architrace extracts what was only implied, reconciles your sources, and surfaces contradictions with proposed resolutions — you review and decide. Consistency becomes something you approve, not something you assemble by hand.

statusscopeinheritssupersedeslinked
03 serve

Agents and CI, same base.

Through MCP, architrace feeds Claude Code, Cursor, Copilot — and anything else that speaks the protocol — the curated governing context in the editor, scoped to what applies. You author in human terms; architrace handles how each agent should receive it, and keeps that optimization current as agents and agent versions change — so you never hand-tune CLAUDE.md or rule files per tool or per release. The same base feeds CI: PRs check against the governing context, drift surfaces at commit level.

MCPclaude codecursorcopilotgh-action

Ready to put it to work?

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Why a layer in between

Why not just point agents
at your sources?

MCP already lets an agent read your Confluence, your Jira, your wiki directly. So why put architrace in between? Three reasons direct access can't solve.

01

You pay to reinterpret your docs every run.

Point an agent at raw sources and it re-reads and re-interprets the same sprawling, unoptimized documentation on every session — in tokens, latency and cost. architrace interprets once, then serves the scoped, agent-optimized subset. Interpretation is amortized, not repeated on every run.

02

Raw sources contradict each other.

A wiki page, an ADR and a rule file describe the same thing three different ways. An agent reading them directly has no way to know which is current — nothing detects or resolves the conflict, so it just picks one. architrace reconciles first, so what reaches the agent is consistent and current.

03

Agents inherit credentials they don't need.

An agent pointed straight at Jira or Confluence inherits the token it's given — often the providing user's full rights, up to admin and write — when all it needs is scoped read. architrace sits in front of your sources as the AI governance layer: each agent gets a read-only view of exactly what applies to it, never broad credentials it has no reason to hold.

Direct access trades all three away for apparent simplicity. architrace keeps the simplicity and closes the gaps.

Convinced the layer earns its place?

Get early access
Who it's for

One platform. Three perspectives.

You stay in control. architrace does the work that makes that easy.

▸ lead · architect

For architects.

You want your architecture to actually hold — and the quality to survive contact with a dozen agents and repos — without becoming the person who manually polices every one of them.

architrace extracts the decisions, constraints, guidelines, policies and shared domain language already implied across your docs — including the ones you never formally wrote down — and reconciles them into one model. It surfaces contradictions and proposes how to resolve them; you decide. The quality bar you set holds everywhere it should, and you stay the authority instead of the manual index and enforcer of your own system.

· sr · engineer

For senior engineers.

You want to ship without being the last line of defense in every review.

Architectural and domain intent reaches the agent the moment code is written — not three review rounds later. Agents produce code that already fits the decisions and constraints that apply, and your reviews and CI check against the same base. Less re-explaining, less gatekeeping.

· cto · vp eng

For CTOs and VPs of Engineering.

You want AI coding to scale output and hold quality — without new risk or runaway cost.

architrace lifts the review bottleneck that caps your AI investment, so more agent output ships without quality slipping through it. It puts a governance layer in front of your sources — scoped, least-privilege access instead of agents holding credentials they shouldn't — and cuts token spend per run by serving a curated, agent-optimized subset. Quality and compliance that don't need a standing oversight function, or a rewrite of your documentation.

Wherever you sit, the bottleneck is the same.

Let's solve it
Early access

Early access.
Get in touch.

architrace is in early access. Deploy on-premise for IP and compliance requirements, or SaaS to start fast. On-premise deployments keep your source code and your connected sources inside your own network.

Or email us directly at contact@architrace.io.

▸ request · early access
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