# Memoria – A Self‑Evolving Personal AI with Human‑like Memory

> Source: <https://dev.to/imawais/memoria-a-self-evolving-personal-ai-with-human-like-memory-34p>
> Published: 2026-07-18 15:22:47+00:00

Most AI assistants forget everything after each session. Memoria remembers, forgets, and evolves—extracting personal facts, resolving contradictions, and reflecting on what it knows. This post shares the journey of building a production‑ready MemoryAgent for the **Qwen Cloud Hackathon, Track 1**.

Every conversation with a typical chatbot starts from zero. You tell it you're allergic to peanuts on Monday, and by Wednesday it recommends pad thai with crushed peanuts. The model doesn't forget; it never had long‑term memory in the first place. Without durable knowledge about who you are, real personalisation is impossible.

We built **Memoria** to solve that problem: a personal AI with human‑like memory that remembers what matters, forgets what fades, resolves contradictions, and evolves its understanding of you over time. Real memory isn't a bigger context window—it's extraction, prioritisation, decay, consolidation, and reflection. The hackathon challenged us to deliver a memory‑efficient, production‑grade MemoryAgent, and we built one from the ground up on Alibaba Cloud.

Memoria organises knowledge in three deliberate tiers:

`text-embedding-v3`

, ranked by hybrid scoring, and subject to decay, consolidation, and conflict resolution.Other key features:

`get_core_memories`

, `get_user_preferences`

, `forget_memory`

, and `strengthen_memory`

to any Qwen agent.**Backend**: Python FastAPI, SQLAlchemy async, PostgreSQL 16 + pgvector for hybrid vector search.

**Memory pipeline**: DashScope – Qwen‑Plus for chat/extraction/conflict/reflection, Qwen‑Max for consolidation, `text-embedding-v3`

for embeddings.

**Background workers**: Celery handles memory ingestion, decay, and consolidation with Redis as the broker.

**Frontend**: React + Vite, `react-markdown`

, `remark‑math`

, `rehype‑katex`

, custom dark theme.

**Deployment**: Docker Compose, Terraform for Alibaba Cloud (ECS, ApsaraDB, Redis), Let's Encrypt via Nginx.

`qwen3-plus`

not accessible; standardised on `qwen-plus`

.Voice input, multi‑agent collaboration via MCP, a mobile companion, advanced memory visualisations, and fine‑tuning Qwen on memory tasks.

**Try it yourself:** [https://memoria.imawais.engineer](https://memoria.imawais.engineer)

**GitHub:** [imawais-engineer/Memoria](https://github.com/imawais-engineer/Memoria)

Built with ❤️ on **Alibaba Cloud** and **Qwen Cloud**.