12 Lessons to Get Started Building AI Agents
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Updated
Jan 1, 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.
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing and MCP tools.
Everything you need to know to build your own RAG application
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
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.
A minimal Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
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.
[Up-to-date] Awesome Agentic Deep Research Resources
YT Navigator: AI-powered YouTube content explorer that lets you search and chat with channel videos using AI agents. Extract insights from hours of content in seconds with semantic search and precise timestamps.
The .NET library to build AI agents with 25+ built-in connectors.
Chat2Graph: Graph Native Agentic System.
[EMNLP 2025] Awesome RAG Reasoning Resources
Nuwax Agent OS - The world's first universal agent operating system, building your private vertical general-purpose agent. 全球首个通用智能体操作系统,打造你私有的垂类通用智能体。新一代AI应用设计、开发、实践平台,无需代码,轻松创建,适合各类人群,支持多种端发布及API,提供完善的工作流、插件以及应用开发能力,RAG知识库与数据表存储能力,MCP接入以及开放能力。
Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
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