Agentes de IA
OpenViking
A self-evolving context database unifying agent memory, RAG, and skills.
★ 39,4 mil estrelasAGPL-3.0
Ver o guia →Agent_Memory_Techniques é um projeto de agentes de IA de código aberto de NirDiamant (NirDiamant/Agent_Memory_Techniques no GitHub). Tem 1.090 estrelas no GitHub e 141 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 21 de setembro de 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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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.