50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Universal memory layer for AI Agents

Build resilient agents.

The API to search, scrape, and interact with the web at scale. 🔥

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

Vane is an AI-powered answering engine.

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Open-source AI coworker, with memory

The Company AI Command Center

12 Lessons to Get Started Building AI Agents

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs