LibreAI / Agentes de IA / SimpleMem
// agents · aiming-lab/SimpleMem

SimpleMem

SimpleMem é um projeto de agentes de IA de código aberto de aiming-lab (aiming-lab/SimpleMem no GitHub). Tem 3.823 estrelas no GitHub e 402 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 24 de julho de 2026.

Research-backed lifelong memory for LLM agents, text and multimodal.

★ 3,8 mil estrelas⑂ 402 forksMITatualizado jul 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Estrelas no GitHub
3.823
Forks
402
Licença
MIT
Última atualização no GitHub
24 de julho de 2026
Categoria
Agentes de IA
Tipo de ficha
Guia de instalação completo
// como funciona

Como funciona

  1. Clarify your goal

    Decide what you want the project to do before installing anything.

  2. Clone the repo

    Grab the source and skim the README for setup requirements.

  3. Install and configure

    Install dependencies and add any API keys or settings it needs.

  4. Run your first task

    Launch it and follow the example workflow from the docs.

// recursos

Por que as pessoas gostam tanto

Lifelong memory

Designed for very long horizons.

Multimodal

Handles text and other modalities.

Efficiency focus

Compression keeps memory tractable.

Research-backed

Tied to an ICML 2026 paper.

Knowledge graphs

Structured memory representation.

MIT licensed

Free to build on.

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// execute você mesmo

Execute você mesmo

  1. Step 1 - Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/aiming-lab/SimpleMem.git
    cd SimpleMem
  2. Step 2 - Install dependencies

    Create a virtual environment and install the requirements.

    python -m venv .venv && source .venv/bin/activate
    pip install -r requirements.txt
  3. Step 3 - Run an example

    Treat these as starting points - the README documents the exact commands.

    python examples/quickstart.py
// casos de uso

O que você pode criar

  • Reproduce the paper's memory experiments.
  • Prototype efficient long-horizon agent memory.
  • Study compression techniques for agent context.
  • Extend the design to new modalities.
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// perguntas frequentes

Perguntas frequentes

Who maintains SimpleMem?

It is an open-source project at aiming-lab/SimpleMem with 402 forks. Check the repo's contributors and recent commits to judge how active maintenance is.

Is SimpleMem free to use?

Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.

Do I need a paid API to use it?

It depends on your setup - self-hosted storage can be free, while hosted tiers or embedding APIs may cost money. Check the README for options.

SimpleMem vs mem0 or cognee?

SimpleMem is a research system with a paper to read; mem0 and cognee are production-oriented platforms. Choose SimpleMem to study and extend the ideas, the others to ship memory features.

How do I get started?

Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.

// continue explorando

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Baixe o SimpleMem

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.