Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Learn about different memory techniques for AI agents through interactive notebooks that you can run yourself.
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Free · no card · unsubscribe anytimeAgent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Agent_Memory_Techniques has 943 stars on GitHub. It has been forked 122 times. Agent_Memory_Techniques is written mainly in Jupyter Notebook. It has been in active development since 2026. Agent_Memory_Techniques is available under the Apache-2.0 license. Its main topics are agent-memory, ai-agents, anthropic, episodic-memory.
What is Agent_Memory_Techniques?
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Is Agent_Memory_Techniques open source?
Agent_Memory_Techniques is an open-source project. It is released under the Apache-2.0 license.
Is Agent_Memory_Techniques free?
Yes. Agent_Memory_Techniques is free and open source — you can use, modify and self-host it.
What license does Agent_Memory_Techniques use?
Agent_Memory_Techniques is available under the Apache-2.0 license.
What language is Agent_Memory_Techniques written in?
Agent_Memory_Techniques is written mainly in Jupyter Notebook.
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