STACK IT FAST
EXPLORE ALL STACKS

Mem0

SiteGitHub
CURATED OSSAI-AGENT
AI Memory & Context Engine · 2-5 people·Architect: Community Member
A
Community Architect

Submitted and verified architecture maintainer

PROJECT DETAILS

Mem0 is an open-source memory layer for AI agents and LLM applications, giving them persistent, personalized long-term memory across sessions.

ARCHITECTURAL RATIONALE

Universal memory layer for AI agents; extracts and persists structured personal facts and episodic memories across user chat sessions with low latency.

Your AI Scaffolding Prompt

Paste this into Claude, Cursor, or any AI coding agent to scaffold a production-ready clone of Mem0's architecture in minutes.

use-this-stack.md
# MISSION: Scaffold "Mem0" Production Architecture
You are an expert Senior Staff Software Architect and Full-Stack Engineer. Your mission is to scaffold and implement a production-grade, highly reliable, and modular codebase following the proven architecture of **Mem0**.
---
## 1. PROJECT SPECIFICATIONS & BENCHMARK
- **Reference Architecture**: Mem0
- **What It Does**: Mem0 is an open-source memory layer for AI agents and LLM applications, giving them persistent, personalized long-term memory across sessions.
- **Domain & Category**: AI Memory & Context Engine
- **Production Scale**: 2-5 people
- **Development Mode**: AI-AGENT
- **Architectural Rationale**: Universal memory layer for AI agents; extracts and persists structured personal facts and episodic memories across user chat sessions with low latency.
- **Live Website Reference**: https://mem0.ai
- **Source Repository**: https://github.com/mem0ai/mem0
---
## 2. PRODUCTION TECH STACK
- **Full Stack Array**: Python, FastAPI, Qdrant, Postgres, pgvector, Redis
- **Backend Layer**: FastAPI
- **Data & Persistence**: Postgres, Redis
---
## 3. NON-NEGOTIABLE ARCHITECTURAL GUARDRAILS
1. **Monorepo & Modular Separation**:
   - Structure as a Turborepo monorepo with strict package boundaries:
     - `apps/web`: Application UI, routing, layouts, and server endpoints.
     - `packages/ui`: Shared design tokens, CSS variables, and Radix UI primitive components.
     - `packages/db`: Database schemas, client singleton, declarative migrations, and seed scripts.
     - `packages/config`: Shared TypeScript, ESLint, and build configurations.
2. **Strict Type Safety & Zero `any` Policy**:
   - Enable `strict: true`, `noImplicitAny: true`, and `strictNullChecks: true`.
   - Validate ALL external inputs, API request bodies, and query parameters with **Zod** schemas before execution.
3. **Frontend & Rendering Guidelines**:
   - Isolate interactive UI state to leaf components. Keep core pages lightweight and performant.
4. **Design System & Aesthetics**:
   - Implement a sleek, dark-mode first design palette (`#0e0e0f` main background, `#141416` cards, `#28292e` borders, warm amber `#e0791f` accent).
   - Use crisp 1px borders and subtle 1px offset depth shadows (`0 1px 0 rgba(0, 0, 0, 0.5)`). Never use blurry default Tailwind shadows.
   - Clean typography using `IBM Plex Sans` for body/headings and `IBM Plex Mono` for tags, badges, metrics, and code snippets.
5. **Data Layer & Reliability**:
   - Write declarative schema definitions with foreign keys, composite indexes on queried filters, and automated timestamp triggers.
   - Use connection pooling and prepared statements for serverless database execution.
---
## 4. STEP-BY-STEP SCAFFOLDING ROADMAP
- **Phase 1: Workspace & Root Config**: Initialize package manager, monorepo configuration (`turbo.json`, `tsconfig.base.json`, `package.json`).
- **Phase 2: Database Schema & Client**: Set up database client, connection pool, Drizzle/PostgreSQL models, and migration scripts.
- **Phase 3: Design Tokens & UI Primitives**: Build accessible `Button`, `Input`, `Card`, `Badge`, and layout wrappers inside `packages/ui`.
- **Phase 4: Core Application Routes & Handlers**: Implement primary authentication, user session handling, and application routes.
- **Phase 5: Quality Assurance & Build Verification**: Run `tsc --noEmit`, ESLint, Prettier, and smoke test suites to ensure zero compilation or runtime errors.
---
## 5. EXECUTION INSTRUCTIONS
1. Review all specifications, architectural guardrails, and stack choices above.
2. Present the full monorepo directory tree structure.
3. Systematically generate the complete, production-ready codebase according to the 5-phase roadmap above — starting with the root workspace setup, followed by the database schema, UI design system package, and full-stack application routes until the repository is fully scaffolded and ready to run.
0PROMPT COPIED
0SUCCESSFUL LAUNCHES
100%SUCCESS RATE
Used this prompt?
"Scaffolded" counts developers who copied the prompt.
RELIABILITY
1 year 2 monthsTIME RUNNING
Aug 30, 2026LAST VERIFIED
Did this stack work well for AI Memory & Context Engine?
Compatible Rule

FastAPI + Python + PostgreSQL (Async SQLAlchemy & Pydantic v2)

Production guidelines for FastAPI, Pydantic v2 validation, Async SQLAlchemy 2.0 (asyncpg), Alembic migrations, and PostgreSQL/Redis.

AGENTS.md (63)CLAUDE.md (15)
USE THIS RULE
Sponsorship Spot

Feature Your Product Here

Reach engineers scouting production tech stacks.

DM TO SPONSOR