Your AI agents know the code.
They don't know the company.
ADRs catch the big calls. The hundreds of smaller ones, scattered across chat, tickets, PRs and meetings, leave your agents blind to what still stands, what conflicts, and why. Align makes them one graph you check before shipping.
AI-generated code carries 70% more issues - usually from context it couldn't see.
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. The ticket no longer matches the original decision. Temporary exceptions became permanent architecture.
"Didn't we already decide this?"
You did. Three months ago. But it was buried in a ticket, the ticket was closed, and now two teams are having the same debate 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. Right now, producing it means weeks of archaeology across 15 tools.
None of this is 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. Align closes it: every decision behind the code, captured where it happens and linked across tools, so people and agents build on what your team actually decided.
Why Now?
AI agents are already shipping wrong code at scale. Replit AI deleted a production database in 9 seconds. Cursor rm -rf'd 70 files despite explicit instructions not to. Amazon's own Kiro nuked a Cost Explorer environment to "fix a bug." Ten documented incidents in 18 months. Zero postmortems. The category is forming this year. The question is whether you have a decision graph before your auditor - or your AI agent - asks for one.
Your agents have everything except what your team actually decided.
AI agents are probabilistic. They're only as reliable as the context they're given, and the one input they can't see is what your team already decided and why. "You can outsource your thinking but you can't outsource your understanding." Karpathy, Dec 2025. Code, docs, and APIs are already structured and queryable. The reasoning behind every engineering decision is not.
Deterministic inputs your agents already have
- Code repositories
- API schemas and type definitions
- Test suites and CI logs
- Runtime traces and metrics
Structured. Queryable. The kind of relevant, up-to-date context agents need to operate well.
The context they don't have
- Why you chose Postgres over DynamoDB
- Why auth got rewritten in Q3
- Which decisions are already superseded
- What conflicts with what
Some of this lives in Confluence and Notion. Most lives in Slack threads, meeting notes, and ticket comments. Either way it's unlinked, unstructured, and the agent goes fishing across tools to stitch it together. Every query returns a different answer depending on which thread it finds first.
The best AI-native teams give their agents one place to find everything they need. With code you can. With decisions you can't - they're scattered across fifteen tools, and no agent stitches them back together the same way twice. Align is that one place, for the decisions: deterministic context for probabilistic agents.
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. Your agents query it before they build. Your engineers search it before they debate.
Org-wide decision context via MCP
Like a CLAUDE.md for one repo - but a queryable decision graph across your entire org. Every agent, every tool, every team. One source of truth for what was decided and why.
Check before you build
Before writing code, agents query Align for relevant decisions and known conflicts. The decision they were about to break gets caught before the first line ships, not after deployment.
Find the decision that shaped this in seconds.
Decisions live in Slack threads, Jira tickets, meeting transcripts, and PR comments. Align connects them into a single graph with relationships already resolved - so "why was this built this way?" has one answer, not seven.
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 months of "who decided this, and why", the answers are already in the graph. New joiners ramp on your org's actual decisions instead of interrupting the people who made them.
We're not the only ones who see it this way.
The teams furthest ahead on AI-native engineering keep reaching the same conclusion: the agents that feel superhuman are the ones whose organization put everything they need in one place. With code, that's a solved problem. With decisions, it isn't - they're scattered across every tool your team works in, and no agent stitches them back together the same way twice. That's the gap Align closes.
Every decision your team has made, connected and searchable.
Decisions get made across every tool your team uses - Slack, Jira, GitHub, Confluence. Align captures them, links them, and surfaces conflicts before anyone ships code against the wrong assumption.
Up and running in minutes.
Connect in minutes
Add Align to your existing tools across your entire SDLC. OAuth setup takes minutes. No workflow changes, no training needed.
Capture in seconds
@align in chat, /align in comments. Align only
processes conversations you explicitly invite it into. AI extracts the
decision, detects conflicts, and tracks supersessions automatically.
Search across every tool
"Why was this built this way?" One search. Engineers onboard in days. Agents stop shipping against the wrong assumption.
See the decision graph in action
Your organizational memory, made queryable - decisions captured, linked, and surfaced across every tool your team uses.
Cross-tool decision relationships visualised as a connected graph
Connects where decisions happen
Built by engineers who've lived this problem.
We're engineers who've lived this problem - and built the solution we kept needing. A decade building CI/CD systems, observability pipelines, and developer productivity tooling at scale, watching the decisions that shaped those systems disappear into Slack threads, DMs, and meetings nobody transcribed.
The hardest part of building Align 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.
See what's already buried in your tools.
The best way to understand Align is to see it working 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.
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, no message, token, or decision ever leaves your VPC.
Your messages aren't the product
Align only processes conversations you explicitly invite it into, extracts the decision, and discards the raw text. We store decisions, not your messages.
Plans
Start free with the CLI. Upgrade to Team when you need shared organizational memory.
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
At 50+ engineers, "just ask" stops working. Align builds the shared decision graph across your whole org - automatically, across every tool your teams already use.
- All integrations included
- Shared decision graph
- Conflict detection & alerts
- MCP server for agents
- Priority support
For organizations with security, compliance, or air-gapped deployment needs.
- Everything in Team
- Self-hosted via Helm
- SAML / OIDC SSO
- SOC 2 & ISO 27001 roadmap
- Dedicated support & SLA
No integration limits on any tier. Enterprise pricing available for self-hosted and compliance requirements.
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 →