The decision graph for engineering teams Your AI agents know the code.
They don't know the company.
ADRs catch the big calls. The hundreds of smaller ones - most decided in meetings, the rest scattered across chat, tickets and PRs - leave agents blind to what still stands, what conflicts, and why. Align makes them one graph your team and agents check before they build.
65% of developers say AI misses critical context. Teams that fix it cut context failures by 3x.1
These conversations happen in every engineering org. Every week.
"Why does this work this way?"
The person who decided left 8 months ago. The reasoning is buried in a Slack thread nobody can find, and the ticket no longer matches the original decision.
"Didn't we already decide this?"
You did. Three months ago. But the ticket was closed, and now two teams are relitigating it with different outcomes. People thought they agreed but didn't.
"Show us your decision trail."
Your auditor wants it. Your new joiner needs it. Your AI agent is shipping code without it. Today that means weeks of archaeology across 15 tools.
This isn't a code-review problem. Review catches whether the code is correct - not whether it contradicts a decision another team made months ago that the reviewer never saw. That gap reaches production whether or not an agent wrote the code.
From a Slack thread to every agent that builds next - in seconds.
The whole loop on a single decision. It works the same wherever decisions happen across your SDLC - meeting transcripts, Slack, Teams, Jira, Linear, GitHub, Confluence, Notion, Google Docs, and more.
- 1 Slack thread
"After weighing it up - let's go with Postgres. The consistency guarantees matter more than the scale we'd get from Dynamo at this stage."
@align capture this
A real decision, made where work happens.
- 2 Decision capturedUse Postgres over DynamoDBActive #architecture
Consistency guarantees matter more than scale headroom at current stage.
AI extracts the decision and its rationale. No template, no doc.
- 3 Conflict caught across tools
Teams meeting · weeks later
A later call leans toward DynamoDB - unaware Postgres was already decided.
Conflict two active decisions, nobody reconciled them
Real-time, cross-tool detection - the contradiction is surfaced the moment it lands, so you can resolve it instead of shipping both.
- 4 Linked into the graph
One graph of every decision and how they relate - your organizational memory, made queryable.
- 5 Every agent builds on it
agent Planning the datastore for this service...
align Postgres - chosen for consistency over scale (#architecture). A later Teams call proposed Dynamo; that's unresolved. Flagging before you build.
The payoff: via MCP, every agent checks the graph before it builds - it learns why, and gets warned of conflicts, before writing a line.
Decision capturedYour decision graph, live across every tool.
Your organizational memory, made queryable - the big architectural calls made in meetings and the day-to-day ones settled in chat, captured across every tool, linked, and tiered by level so your team and its agents know which is which.
Cross-tool decision relationships visualised as a connected graph
Your agents have everything except what your team actually decided.
Code, docs, and APIs are already structured and queryable. The reasoning behind every engineering decision is not - and it's the one input an agent can't see.
What agents already have
- Code repositories
- API schemas and types
- Test suites and CI logs
- Runtime traces and metrics
Structured. Queryable. Up to date.
The context they don't
- Why Postgres over DynamoDB
- Why auth got rewritten in Q3
- Which decisions are superseded
- What conflicts with what
Scattered across meeting notes, Slack threads, and ticket comments - so every query returns a different answer.
Align is that one place, for the decisions: deterministic context for probabilistic agents.
"You can outsource your thinking but you can't outsource your understanding."
Andrej Karpathy, Dec 2025
The understanding layer your agents are missing.
Align captures decisions where they happen, links them across every tool, and exposes them as a queryable MCP server. Agents query it before they build; engineers search it before they debate.
Org-wide context via MCP
Like a CLAUDE.md for one repo - but a queryable decision graph across your entire org. Every agent, every tool, one source of truth.
Check before you build
Agents query Align for relevant decisions and known conflicts first - so the decision they'd have broken gets caught before deployment.
One answer, not seven
Decisions live across Slack, Jira, transcripts and PRs. Align connects them into one graph with relationships already resolved.
And it raises the floor for everyone.
A new engineer inherits the context of your best people on day one, and so does every agent - instead of interrupting the people who made the decisions.
You've probably already tried this.
If scattered decisions were an easy problem, one of these would have solved it. Here's why each one breaks - and what's actually different.
A RAG bot over your docs
It only finds decisions someone already wrote down. The ones that matter most - made in a Slack thread, a meeting, a PR review - never made it to a doc. The bot can't retrieve what was never written.
A CLAUDE.md (or rules file) per repo
Great for one repo's conventions. Blind to the decision another team made in their repo three months ago that yours now contradicts. It doesn't know what it doesn't contain.
Search across all your tools
An enterprise search index returns both sides of a settled debate and ranks neither. You still can't tell what holds, what was superseded, or what conflicts. Search finds documents; it doesn't resolve decisions.
RAG finds decisions someone already wrote down. Align captures decisions from the conversation, before anyone writes them down - then links and resolves them, so you get one answer: what still stands, what conflicts, and why.
AI made decision context operationally critical.
Agents now write and ship code at machine speed. That turns a once-slow coordination problem into a real-time one: the cost of an agent acting on the wrong decision is no longer a confused afternoon, it's merged code. The teams getting this right are building the decision layer now.
Every decision your team has made, connected and searchable.
Decisions get made across every tool your team uses. Align captures them, links them, and surfaces conflicts before anyone ships against the wrong assumption.
Up and running in minutes.
Connect in minutes
Add Align to the tools you already use. OAuth setup takes minutes - no workflow changes, no training.
Capture in seconds
@align in chat, /align in comments. Align only
processes conversations you invite it into, then extracts the decision
and detects conflicts automatically.
Search across every tool
"Why was this built this way?" One search. Engineers onboard in days; agents stop shipping against the wrong assumption.
Connects where decisions happen
Built by engineers who've lived this problem.
Align comes from 10+ years building CI/CD systems, observability pipelines, and developer-productivity tooling at scale - and watching the decisions that shaped those systems disappear into Slack threads, DMs, and meetings nobody transcribed.
The hardest part wasn't the AI. It was the connector graph: pulling truthful signal from the tools where engineering actually happens and resolving the relationships between them. We built that first. That's why everything else works.
"What about our old, undocumented code?"
We'll tell you the truth other vendors won't. Align captures cleanly from today forward, and mines what your team actually wrote down - PR threads, tickets, meeting transcripts, chat. But we won't pretend to reverse-engineer a decision from code where nobody ever recorded the why. Nobody can. What we can promise: from the day you connect Align, the reasoning stops disappearing.
Your decision graph is yours.
Align is built so you stay in control of your own context.
Open-source core
The CLI and connector SDK are MIT-licensed. Read the code, run it yourself, no account required.
Self-host the whole thing
Run Align entirely in your own infrastructure via Helm, air-gap supported. On Enterprise, nothing leaves your VPC.
Your messages aren't the product
Align only processes conversations you invite it into, extracts the decision, and discards the raw text. We store decisions, not your messages.
Simple plans, all integrations included
Start free with the CLI. Partner with us to get the shared organizational memory across your whole team - all integrations included on every plan.
Personal use. Import decisions from every tool you already use - then expose your local graph as a provider-agnostic MCP server any AI agent can read.
- All integrations included - Slack, GitHub, Jira, Linear & more
- Personal decision graph
- Provider-agnostic MCP server (Claude, Cursor, any agent)
- Open source (MIT)
- No account required
Full product, all integrations, and direct founder support for teams helping shape Align. The shared decision graph across your whole org - automatically, across every tool your teams already use.
- Everything in CLI, for your whole team
- Shared, org-wide decision graph
- Conflict detection & alerts
- MCP server for every agent
- Direct founder support & roadmap input
For teams that need self-hosting, SSO, or compliance. Run Align entirely in your own infrastructure - nothing leaves your VPC.
- Everything in Design Partner
- Self-hosted via Helm, air-gap supported
- SAML / OIDC SSO
- SOC 2 & ISO 27001 roadmap
- Dedicated support & SLA
No integration limits on any plan. Licensing for Enterprise & Self-Hosted is based on team size.
See what's already buried in your tools.
The best way to understand Align is to see it on your own stack. Book a 30-minute walkthrough and we'll show you what decisions are already buried in your tools - and what your agents are shipping against right now.
Go Deeper
The technical architecture behind the decision graph. How Align captures decisions across the SDLC, structures them with AI, surfaces conflicts and superseded decisions across tools, and gives your agents queryable organizational memory.
Read the Technical Whitepaper →