Agents IA
OpenViking
A self-evolving context database unifying agent memory, RAG, and skills.
★ 39,4 k étoilesAGPL-3.0
Voir le guide →Agent_Memory_Techniques est un projet de agents IA open source, créé par NirDiamant (NirDiamant/Agent_Memory_Techniques sur GitHub). Il compte 1 090 étoiles sur GitHub et 141 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 21 septembre 2026.
30 runnable notebooks teaching everything about agent memory.
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.
A full curriculum, runnable top to bottom.
MemGPT, Mem0, Letta, Zep, Graphiti, and more.
LoCoMo evaluations hands-on.
Beyond theory: how teams ship it.
Learn by executing, not just reading.
A class worth paying for, at no cost.
Download the notebooks and move into the folder.
git clone https://github.com/NirDiamant/Agent_Memory_Techniques.git
cd Agent_Memory_TechniquesGet JupyterLab plus the repo's Python requirements.
pip install jupyterlab
pip install -r requirements.txtLaunch JupyterLab and work through the notebooks in order.
jupyter labIt is an open-source project at NirDiamant/Agent_Memory_Techniques with 141 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
No — these are notebooks about memory techniques; a laptop with Python and Jupyter is enough.
Yes — it's structured as a course, from buffers to production patterns.
Clone the repo and follow the README quickstart — the README is the best starting point.
A self-evolving context database unifying agent memory, RAG, and skills.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.