Agentes de IA
A-mem-sys
Agentic memory for LLM agents, from a published research project.
★ 401 estrellasMIT
Ver la guía →SimpleMem es un proyecto de agentes de IA de código abierto de aiming-lab (aiming-lab/SimpleMem en GitHub). Tiene 3.823 estrellas en GitHub y 402 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 24 de julio de 2026.
Research-backed lifelong memory for LLM agents, text and multimodal.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Designed for very long horizons.
Handles text and other modalities.
Compression keeps memory tractable.
Tied to an ICML 2026 paper.
Structured memory representation.
Free to build on.
Download the source and move into the project folder.
git clone https://github.com/aiming-lab/SimpleMem.git
cd SimpleMemCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyIt 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.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
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 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.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
Agentic memory for LLM agents, from a published research project.
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Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si SimpleMem no es lo que buscas.
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Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a SimpleMem: sigue explorando a ambos lados.
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Build voice-based LLM agents with a modular, open-source toolkit.
OpenAI's lightweight TypeScript framework for multi-agent workflows and voice agents.
A rigorous benchmark for LLMs acting as agents.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.