12 Lessons to Get Started Building AI Agents
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Updated
Jul 8, 2026 - Jupyter Notebook
12 Lessons to Get Started Building AI Agents
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
Everything you need to know to build your own RAG application
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Multi-agent systems, memory, planning, reasoning loops
拼好RAG:手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索;整合DeepSearch技术实现私域RAG的推理;自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
tl/dw (Too Long, Didn't Watch): Your Personal Research Multi-Tool - a naive attempt at 'A Young Lady's Illustrated Primer' (Open Source NotebookLM)
Nuwax Agent OS - An enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base management, model proxy, memory system, and plugin ecosystem.
[ACL 2026 KnowFM] Awesome Agentic Deep Research Resources
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
Hands-on LangGraph course repo for building production-grade LLM agents with Agentic RAG, ReAct, and reflection workflows.
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