A
Agent_Memory_Techniques
NirDiamant/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.
★849stars
Jupyter Notebook
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A agent-memory/ai-agents tool in the Plugins, MCP & Skills category, built with Jupyter Notebook, open-source
Who made it?Maintained by NirDiamant team, 849⭐ on GitHub, #807 out of 2373 in Plugins, MCP & Skills
Why does it exist?The NirDiamant team recognized that existing agent-memory tools in Plugins, MCP & Skills were hard to use. Agent_Memory_Techniques was designed to make ai-agents more accessible.
What can it do?Key use cases: anthropic, episodic-memory, generative-ai
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/NirDiamant/Agent_Memory_Techniques | 官网 https://diamantai.substack.com/
🔗 github.com/NirDiamant/Agent_Memory_Techniques | 官网 https://diamantai.substack.com/
Topics
agent-memoryai-agentsanthropicepisodic-memorygenerative-aigraphitiknowledge-graphlangchainlettallmllm-agentsllm-memorymem0memgptopenaipythonragsemantic-memoryvector-databasezep