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GenAI_Agents 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发。
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
NirDiamant / Agent_Memory_Techniques
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.
Agent_Memory_Techniques 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发。
目前累计 1.1k star、142 fork，主要语言为 Jupyter Notebook，项目始于 2026 年，采用 Apache-2.0 许可。最近状态：近半年有提交。适合：做 AI 应用的开发者。
中文介绍优先采用本站人工维护条目；无维护条目时依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经项目方确认，不构成选型结论。NirDiamant/Agent_Memory_Techniques 是一个以 Jupyter Notebook 为主的开源项目，目前累计 1.1k star、142 fork，近半年有提交。主要方向：agent-memory、ai-agents、anthropic、episodic-memory、generative-ai、graphiti。
依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经人工逐项核实。agent-memoryai-agentsanthropicepisodic-memorygenerative-aigraphitiknowledge-graphlangchainletta大模型llm-agentsllm-memory
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Prompt_Engineering 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
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generative-ai 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打适合生产环境。
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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agents-towards-production 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打适合生产环境。
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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RAG_Techniques 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发。
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutor…
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evidently 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打开源免费。
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular d…