In this comprehensive tutorial, you'll learn how to build an OpenClaw-inspired AI agent using modern technologies including Next.js 16, React, Node.js, and TypeScript. We'll create a powerful Hermes Agent capable of reasoning, planning, executing tasks, and improving its own performance through feedback loops.
Whether you're interested in AI agents, autonomous systems, LangGraph-style workflows, or building the next generation of AI applications, this project will give you practical experience with real-world agent architectures.
Source Code
Code : https://www.patreon.com/posts/hermes-...
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JOIN THE AI HERO COURSE ⭐🌟✨
Join here : https://forms.gle/1B1tKJ4CzgjnBXFY6
Collaboration Email me : [email protected]
✨ Here's the covered Features
1. Deep Research Agent
2. Slack Bot
3. Telegram Bot
4. Self - Improving Agent
5. OpenClaw Memory System Breakdown
6. DeepAgent
7. Multi-Agent system
8. Memory Design From scratch (Long-term & ShortTerm)
9. Skills
10. Context offloading
11. Agent loop : think act observe decide repeat
12. RAG
13. Multi Agent orchestration
14.Hybrid Retrieval
semantic search and keyword (BM25) Algorithm
Tech Stack : NextJs 16,MongoDB, LangChain,LanGraph,RAG
TimesCode
0:00 - Project Demo
09:35 - Setup an express Server
17:32 - Google authentication & setup DB
45:38 - OpenClaw Memory Break down
1:56:34 - Set up OpenClaw Frontend Next.js 16
2:03:32 - Retrieving Auth data
2:35:01 - Threads API
3:22:13 - Build a Slackbot
4:26:35 - Self-Improving Agent (Hermes Agent)
5:39:02 - Build Telegram Bot
6:25:53 - Build Deep Research Agent & Context offloading