Your team already knows this. Your tools don't.
Why you chose Postgres. What broke last deploy. How you fixed that N+1 query. It all lives in Slack threads and closed PRs your AI tools will never find.
Mneme watches your team's conversations and turns them into memories your tools can use.
Chose Postgres over Mongo for order history. ACID guarantees needed for refund reconciliation.
Evidence trail
"mongo can’t handle refund rollbacks safely. we need ACID."
Migration to Postgres completed. 14 files, 3 reviewers.
DB migration for orders service. Closed after deploy verification.
Where your memories come from.
Mneme connects to where your team already works. Whole conversations become single memories with full evidence chains.
GitHub
PRs, reviews, commits
Slack
Threads, decisions, debates
Linear
Tickets, priorities, status
Jira
Issues, sprints, resolutions
Stripe
Payments, refunds, disputes
Ingesting 7 Slack messages...
Slack thread → Decision memory
“Chose Postgres over Mongo for order history. Needed ACID guarantees for refund reconciliation.”
with 7 evidence breadcrumbs
PR review → Architectural pattern
“All Stripe calls go through service layer. Direct API calls caused a 2-day rollback.”
linked to incident #312
Linear ticket → Priority context
“Mobile support deprioritized until v2 launch. Not enough signal from current users.”
confidence decays in 30d
Your team fixed this three months ago.
Without Mneme, they'll fix it again.
The N+1 query your team already fixed.
OrderItems.findAll({ include: LineItem })Without Mneme
Fixed in PR #142 three months ago. A new hire reintroduces the same pattern in PR #287. The reviewer has no idea it was caught before.
With Mneme
PR review flags the pattern with a link to the original fix in #142 and the Slack thread where @alex explained the eager loading approach.
The migration that locked the users table.
ALTER TABLE users ADD INDEX email_verifiedWithout Mneme
Checkout timed out for 30 seconds during the last migration lock. Nobody documented it. The next migration hits the same table with the same result.
With Mneme
PR review surfaces the incident: "2 lock timeouts on users table in the last 60 days. Last one caused a 30s checkout outage."
The auth vuln that isn’t one.
GET /api/users/:id // no session checkWithout Mneme
Security scan flags an IDOR vulnerability. An engineer spends 2 hours investigating before learning from Slack that all API consumers are trusted internal services.
With Mneme
The scan result gets context: "All API consumers are trusted internal services. Accepted risk since Q2, confirmed by @dan in #backend."
Works with Claude Code, Cursor, Windsurf
Your tools get the memory. You get the context.
One command to set up. Ask a question in Claude Code and Mneme automatically surfaces your team's relevant memories. No special syntax. No manual search.
All Stripe calls go through service layer.
Direct API calls caused a 2-day rollback.
PR #312 · Slack #backend · Mar 2
N+1 in OrderItems flagged 3× in 30 days.
PR #142, #187, #203
curl -fsSL mnem.dev/setup | bash
5
signal sources · GitHub, Slack, Linear, Jira, Stripe
<20 min
to set up with full history backfill
Beyond retrieval.
Search gets you the document. Mneme tells you what your team learned from it, whether it's still true, and when to bring it up.
A whole conversation becomes one memory.
Most tools process messages one at a time. Mneme synthesizes entire Slack threads, PR discussions, and ticket lifecycles into single coherent memories.
Every memory has a paper trail.
Every memory links back to the PRs, threads, and incidents that created it. Click any insight and trace it to the source.
Intelligence that compounds.
Patterns that recur get reinforced. One-off issues decay. After 30 days, Mneme knows your architecture. After 90, it catches patterns before they become incidents.
Give your tools the context they're missing.
“There should be some place where thoughts go so I don't have to have them five times.”
or join the waitlist