Sistemas de AI Memory — La guía completa para chatbots y agents

mem0 — Long-term Memory for AI Agents (2026 Guide)

mem0 is an open-source memory layer that extracts, stores, and retrieves user-specific facts across conversations. Drop it in next to your OpenAI or Claude calls and your chatbot stops forgetting who it is talking to.

Zep — Memory Service for LLM Apps with Built-in Summarization

Zep is a dedicated memory service for production LLM apps. It stores sessions, summarizes long histories, extracts facts, and retrieves them with hybrid vector + keyword + graph search.

Letta — Agent Memory OS (formerly MemGPT)

Letta is a stateful agent framework built around MemGPT-style paged memory. Agents explicitly read from and write to their own memory via function calls — the most transparent memory model in production.

Graphiti — Temporal Knowledge Graphs for AI Agents

Graphiti builds a time-aware knowledge graph from streaming data — every edge has a validity window. Agents can query not just "what is true" but "what was true when".

MemGPT — The Paper That Started Paged Agent Memory

MemGPT is the 2023 UC Berkeley paper and open-source project that introduced OS-style memory management to LLM agents. The project lives on today as Letta, but the ideas remain foundational.

Cognitive Weaver — Experimental Agent Memory Architecture

Cognitive Weaver is a research-leaning memory library exploring reflection-based memory consolidation — agents that periodically review and rewrite their own memories, not just store them.

Motorhead — Lightweight Redis-Backed Chat Memory Server

Motorhead is an open-source Rust server that stores chat history in Redis, runs a rolling summarizer, and exposes a tiny REST API. The simplest way to add "remember the last N turns + a summary" to an LLM app.

LangMem — LangChain-Native Memory SDK

LangMem is LangChain’s official memory SDK. It provides memory management tools (semantic, episodic, procedural) that plug into LangGraph agents and LangChain chains.

LlamaIndex Memory — Built-in Memory for RAG Pipelines

LlamaIndex ships first-class memory modules for chat engines and agents — ChatMemoryBuffer, VectorMemory, CompositeMemory — letting you add memory to a RAG pipeline with a single constructor arg.

ChatGPT Memory — Complete Guide (2026)

How ChatGPT memory actually works in 2026: what it stores, what it forgets, how to control it, and when to build your own memory layer instead.

Vector Memory vs Graph Memory — How to Choose (2026)

A practical comparison of the two dominant AI memory architectures: when to use vector embeddings, when to reach for a knowledge graph, and when to combine them.