CURSOR AI MEMORY · AVAILABLE NOW

Cursor Memory in Los Angeles

Teams on Cursor stay aligned without extra docs. One searchable memory per project, identical from Cursor, Claude Code, or the web portal. Free to start, offline-ready.

Keep .cursor/rules for steering, move durable reasoning to shared memory. Ranked retrieval, scoped access, one-command MCP setup — ship faster without re-explaining.

N

Nelson · Founder, MemHub at Simplex.lat

Simplex.lat · Quito, Ecuador ·

Published by MemHub at Simplex.lat. Product limits come from the current plans; validate capabilities in your own pilot.

Local-first · OfflineSin pérdida de contextoSetup en 2 min
Start free — get briefed in 2 min

Free for 1 project · No card · Self-host or we host · No external API

acme/cursor-memory
synchronized

context/main

memorias 41

fijadas 6

autores 9

BRIEFING FOR NEW SESSION

What changed since your last pull

3 new
01
decision2m

Usar bloqueos consultivos en PostgreSQL

Fuente: Nelson · architecture.md

02
pattern18m

Los errores de API siguen RFC 9457

Fuente: Maya · PR #184

03
bugfix1h

Los refresh tokens rotan atómicamente

Fuente: Codex CLI · auth/session.ts

Claude Code
Cursor
Codex CLI

Definition

What is Cursor Memory in Los Angeles?

Cursor Memory is how engineering teams preserve the why behind the code — rejected alternatives, pinned invariants and recent fixes — as searchable, versioned entries. In Los Angeles, MemHub delivers that memory over MCP with incremental briefings, offline support and auditable authorship.

Team plan at a glance

$29

Team per workspace per month (USD)

Team plan price; review current terms before subscribing. This is not a savings estimate.

According to MemHub pricing →

5

Seats included in Team

Share decisions with authorized teammates. Shared memory is not a replacement for live collaborative chat.

According to MemHub pricing →

20

Projects included in Team

Configure project scope and test what each user can retrieve before connecting sensitive repositories.

According to MemHub pricing →

What changes the first week

In the first week with Cursor Memory in Los Angeles, sessions stop re-proposing settled decisions because pinned invariants outrank noise during ranked retrieval. According to Authoritas, AI Overviews cut traditional clicks by 58%, so being the cited, extractable source inside the briefing matters more than dumping more tokens.

Standups shrink to real blockers, reviews surface the original rationale in one query, and agents respect hard constraints automatically. Because briefings are deltas, the archive stays a query away rather than a stowaway in every prompt.

Why Los Angeles teams need Cursor Memory

Cursor Memory in Los Angeles helps engineering teams ship faster because every AI coding session opens pre-briefed with only what changed since the last pull, not a full dump. According to Search Engine Journal, 45% of searches now show an AI Overview, so concise, cited memory answers also travel beyond the IDE into generative results.

Distributed squads stay aligned across time zones, new hires ramp in days from searchable precedent, and mixed toolchains stop fragmenting knowledge. MemHub keeps that context project-scoped with provenance and local-first sync, so compliance requirements requirements are met without re-explaining.

THE MECHANISM

Write once. Every session remembers.

Less onboarding, fewer regressions, faster shipping — context stops evaporating when sessions end.

01

You keep coding

Decisions auto-captured where you work — terminal, PR, editor. No extra docs, no context-switching.

02

MemHub does the plumbing

Local SQLite outbox first, then project-scoped sync with provenance (who, when, why). Works offline.

03

Next session starts ahead

Every teammate and agent opens pre-briefed with only what changed since their last pull.

UNIVERSAL COMPATIBILITY

Plugs into any CLI, IDE, or AI coding agent.

If it speaks MCP or reads a JSON config, MemHub plugs in. One command wires your editors and terminals without friction.

  • Claude Code
  • Cursor
  • Windsurf
  • Cline
  • Codex CLI (GPT)
  • GitHub Copilot
  • Google Antigravity
  • Gemini CLI
  • Aider
  • OpenCode
  • CI bots via REST

WHAT YOU GET

Cursor Memory: core benefits and capabilities

01

No silos between tools

Same memory feeds Claude Code and Codex — mixed-tool teams stay consistent.

02

Relevant, not everything

Ranked retrieval by topic/recency — agents get the few memories that matter, not a dump.

03

See only what you should

Per-project credentials — contractors and new hires see exactly scoped projects.

04

Browse without the terminal

Web portal to pin, edit, and audit the same corpus — no lock-in to one editor.

05

Stop rewriting rules

Keep tactical .cursor/rules in-repo — move durable why behind them into queryable shared memory.

06

Fresh chat, full context

Yesterday’s decisions brief today’s Cursor New Chat — across chats, worktrees, and machines.

The honest comparison.

No feature-matrix gymnastics — just what changes the week you adopt MemHub.

FeatureMemHubMem0SupermemoryIdeal For
ScopeOrganization → Project → Member, shared across every agentPer-user graph, not team-scopedPer-user vault with sharing on requestTeams that need one truth across tools
StoragePostgreSQL 16 + pgvector, versioned & queryableVector graph on managed infraHosted cloud store, limited exportTeams that need SQL, backups and audit
Tenancy & RLSRow-level security inside the DB, enforced per projectApplication-level isolationWorkspace isolation, no RLSGDPR / SOC-2 reviews
Self-hostDocker/Easypanel recipe included, same MCP + RESTOpen-source self-host possible, different opsCloud-onlyData-residency and on-prem requirements
Offline & syncLocal SQLite outbox, incremental deltas by sequenceOnline-first syncOnline-first, no local outboxFlaky networks, planes and VPN gaps
Pricing modelCommunity free (1 project) · Team $29 · self-host unlimitedFree tier + usage billingFree tier + pay-per-seatTrying without procurement

Keep your stack. Add shared memory.

One command for Claude Code, Cursor, Codex, Windsurf, Cline or any MCP client. No new editor. Setup in 2 minutes, works offline.

memhub-cli · preview
Simulate CLI
$memhub save --type decision "Usar bloqueos consultivos en Postgres" -m "Evita colisiones concurrentes en el outbox"
stdout · [mem_save]12ms
[detect] Contexto resuelto: acme/payments-api
[sqlite] Guardando en outbox local (~/.memhub/outbox.db)...
✓ tipo: decision
✓ título: "Usar bloqueos consultivos en Postgres"
✓ autor: nelson@simplex.lat · git:main (5fc80ea)
[cloud] Sincronizado con MemHub Cloud (org: acme-team)
✓ Registrado con ID: mem_849201_dec
SQLite Outbox + Cloud SyncMCP v1.0

Questions, answered straight.

Does MemHub replace .cursorrules?

No. Rules remain the right place for always-on steering. MemHub holds versioned team knowledge — decisions, constraints, postmortems — that rules files were never shaped to carry. The result is fewer regressions, faster onboarding and prompts that carry current, ranked context rather than stale boilerplate repeated across every agent.

How does Cursor connect to it?

Through the Model Context Protocol: add the memhub entry to your MCP configuration once (the connect command does it for you) and restart Cursor. The result is fewer regressions, faster onboarding and prompts that carry current, ranked context rather than stale boilerplate repeated across every agent.

What happens when our connection drops?

Nothing interrupts the work. Writes commit to the local SQLite outbox and synchronize automatically when the shared service is reachable again. The result is fewer regressions, faster onboarding and prompts that carry current, ranked context rather than stale boilerplate repeated across every agent.

Can we try it without sending data anywhere?

Yes — the local engine works fully offline, and the self-hosted stack keeps even the shared layer on your own PostgreSQL. The result is fewer regressions, faster onboarding and prompts that carry current, ranked context rather than stale boilerplate repeated across every agent.

How much does it cost?

A Community tier is free, and the Team plan adds multi-project contexts, seats, and higher synchronization limits. Self-hosting is unlimited. The result is fewer regressions, faster onboarding and prompts that carry current, ranked context rather than stale boilerplate repeated across every agent.

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