KI-Agenten
A-mem-sys
Agentic memory for LLM agents, from a published research project.
★ 401 SterneMIT
Anleitung ansehen →SimpleMem ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von aiming-lab (aiming-lab/SimpleMem auf GitHub). Es hat 3.823 Sterne auf GitHub und 402 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 24. Juli 2026 auf GitHub aktualisiert.
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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Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls SimpleMem nicht das Richtige ist.
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Verwandte Projekte der Kategorie KI-Agenten im Katalog, die SimpleMem bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Tutti — a real-time shared workspace where people and multiple AI agents build in tune, sharing context, files, apps and tasks
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OpenAI's lightweight TypeScript framework for multi-agent workflows and voice agents.
A rigorous benchmark for LLMs acting as agents.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.