How does it learn my company?

It continuously ingests your GitHub repos, pull requests, ADRs, docs, code reviews, resolved PagerDuty incidents with their postmortem notes, and human corrections — turning them into a structured Engineering Decision Graph that both people and AI can query.

Where does my code and data live?

On Team, data is encrypted and isolated per organization. Enterprise covers self-hosted and VPC deployments with full audit logging, and SSO and SCIM on request — your code never leaves your boundary.

Which tools does it integrate with?

GitHub, Slack, Notion, Jira, and Confluence out of the box, plus a REST API and an MCP server so any AI agent can connect to your engineering memory directly.

How does the MCP server work?

Instead of every AI tool re-learning your company independently, they connect to Slovey over MCP and ask it first — making it the trusted source of decisions, architecture, and standards.

How long until it’s useful?

You can connect a repository in minutes. Basic guardrails work on day one; the decision graph gets sharper with every review, PR, and correction your team makes.

Loading engineering memory

Engineering Intelligence Platform

The intelligence layer beneath your AI coding agents

AI writes great code — it just doesn't know your company. Slovey gives it your context: your codebase, decisions, and history, so mistakes are caught before code is ever committed.

Start free

See how it works

Open source (MIT) · View on GitHub · No credit card

01 — Live review

Watch it catch a mistake, live

pull-request #482 · feat/checkout-refactor
▋
Slovey review
✓Build passes
✓142 tests green
⚠New event 'order.placed' lacks a schema
✕Reintroduces a deprecated retry path
✕ Blocked before commit

No customers yet — here is what it has actually blocked

A README, written by an AI agent

“Live on Solana mainnet”

The project was on devnet. The agent had believed the project's own marketing copy.

Marketing copy vs. recorded network state

Production-ready deployment

Contradicted a decision recorded weeks earlier. Forced a human ruling that corrected a stale decision.

A price service, mid-refactor

Real market data

The data was seeded fixtures. The decision was rescoped to match what actually shipped.

Caught while gating real repositories — including this one. The source is open, so you can check.

Connects to the tools your team already uses

GitHubSlackNotionJiraConfluenceLinearVS CodeCursorClaude CodeCodexGemini CLIMCPGitHubSlackNotionJiraConfluenceLinearVS CodeCursorClaude CodeCodexGemini CLIMCP

The idea

Slovey gives every AI agent your company's context,enforces your standards,remembers past decisions,and stops mistakes before they ship.

01 — The problem

AI writes code. It doesn't know your company.

Today's models are brilliant at syntax and shockingly ignorant of everything that actually makes your codebase yours. So they repeat the same mistakes — and engineers burn hours reviewing, fixing, and re-explaining.

doesn't know

Why past decisions were made

doesn't know

Which architectures were rejected

doesn't know

Your coding standards

doesn't know

Internal conventions

doesn't know

Past production incidents

doesn't know

Existing technical debt

doesn't know

Real business constraints

02 — The solution

A permanent engineering memory for humans and AI

Instead of replacing Claude Code or Cursor, Slovey sits between the agent and your repository — so every change is checked against how your company actually builds software.

AGENT

AI writes code

Claude Code · Cursor

→

INTELLIGENCE LAYER

Slovey

Reviews · enforces rules · remembers decisions

→

REPO

Clean, validated code

Only what passed

Everything it learns becomes a structured Engineering Decision Graph — a living model of your architecture, standards, and history that both people and agents can query.

03 — Capabilities

Everything an agent needs to write code your way

Engineering Decision Graph

A living, structured model of your architecture, standards, and history — the source of truth agents query before they act.

Continuous learning

Ingests GitHub, PRs, ADRs, Slack, Notion, Jira, reviews, PagerDuty incidents, and human corrections — automatically, forever.

Pre-commit review

Every AI-generated change is checked, tested, and validated in the background before a human ever sees it.

Company rule enforcement

Encode conventions and constraints once. Slovey enforces them on every change, no reminders needed.

Architecture guardrails

Detects violations and deprecated patterns and blocks them, citing the decision or incident that made the rule.

API & MCP server

Connect any agent to your engineering memory over a REST API or MCP server — one context layer for every tool.

04 — Pipeline

What happens on every change

Checks build errors

Runs the tests

Detects architecture violations

Verifies company rules

Checks prior decisions

Blocks deprecated patterns

Checks build errors

Typecheck and compile run first, on your machine or in CI — broken code never reaches review.

$ tsc --noEmit → 0 errors

Runs the tests

Your suite runs where your code lives; green before anything merges.

$ vitest run → 158 passed

Detects architecture violations

Layering, boundaries, forbidden imports — flagged with the rule that made them.

✗ import 'db' from ui/ — layer violation

Verifies company rules

Every convention you've encoded is enforced on the diff, automatically.

✓ 6 conventions checked

Checks prior decisions

The change is matched against your decision graph — nothing rejected is reintroduced.

✗ reintroduces retry path (DEC-17)

Blocks deprecated patterns

Deprecated APIs and retired approaches are blocked, citing the incident behind the rule.

✗ legacy:true — removed in PR #482

05 — Why it compounds

Context that gets more valuable as you grow

Current AI tools understand programming. Slovey understands your company — and every decision it captures makes the next one sharper.

Humans see only clean code

Validated, standards-compliant changes — not another review pile.

Fewer review cycles

Mistakes are caught and fixed before the PR is even opened.

Standards enforced automatically

Your conventions apply on every change without anyone policing them.

Memory that compounds

Every decision captured makes the next one faster and safer.

06 — Use cases

Put your engineering memory to work

01Onboarding

Ramp new engineers in days

New hires ask Slovey instead of interrupting seniors — every past decision, convention, and gotcha is queryable from day one.

02Autonomy

Safe autonomy for agents

Let coding agents run further without babysitting — the gate catches anything that breaks a rule or reintroduces a rejected approach before it commits.

03Knowledge

Preserve hard-won decisions

When someone leaves, their reasoning stays. Every “why we did it this way” is captured with the PR and incident that shaped it.

04Reliability

Stop repeat incidents

The pattern that caused last quarter's outage is blocked automatically — the incident becomes a rule nobody has to remember.

07 — Pricing

Start free. Scale when it pays for itself.

Starter

For individual engineers

$0/ forever

1 repository
Pre-commit review
Basic decision graph
Community support

Start free

Questions, answered

No — Slovey sits beneath them. Your agents keep writing code exactly as they do today; we review every change against your company’s context and send fixes back before anything is committed.

Give your AI the context it's been missing

Connect a repository and watch Slovey start catching what your review process misses.

Start free

See it catch something