AI Agents
OpenViking
A self-evolving context database unifying agent memory, RAG, and skills.
★ 39.4k starsAGPL-3.0
View guide →30 runnable notebooks teaching everything about agent memory.
Agent_Memory_Techniques is an open-source ai agents project by NirDiamant (NirDiamant/Agent_Memory_Techniques on GitHub). It has 1,090 GitHub stars and 141 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 21 September 2026.
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.
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