Memory in LLMs A practical guide showing how to implement conversational memory in LLMs using LangGraph, demonstrated through a therapy chatbot. Features code examples for basic retention, trimming, and summarization approaches. Learn to build memory-aware apps
AGENTS
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Sovereign AGI Enterprises: Autonomous Intelligence City-States Rise
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α-AGI Sovereign — Rise of Autonomous Enterprises “We are witnessing the birth of sovereign AGI enterprises – city-states of intelligence that never sleep.” From the successful launch of an α-AGI Nova-Seeds (ERC-721) — Cryptosealed Stellar Spores Of Foresight Genomes
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AI Engineering Hub: 70+ Open-Source MCP RAG Agents Tutorials
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All these projects are from AI Engineering Hub. The Repo has 70+ MCP, RAG & AI Agents tutorials! It's 100% open-source Don't forget to star the Repo
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Building a Real-Time Voice RAG Agent Step-by-Step
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4. Voice RAG Agent Learn how to build a real-time Voice RAG Agent, step-by-step. Check this out: https://
github.com/patchy631/ai-e
ngineering-hub/tree/main/rag-voice-agent
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Building a 100% Local Deep Research Tool with MCP
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5. MCP-powered deep researcher Learn how you can build a 100% local deep research. Repo → https://
github.com/patchy631/ai-e
ngineering-hub/tree/main/Multi-Agent-deep-researcher-mcp-windows-linux
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Building Agentic RAG Pipelines with Dynamic Context Retrieval
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1. Agentic RAG Build a RAG pipeline with agentic capabilities that can dynamically fetch context from different sources, like a vector DB and the internet. Check this out: https://
github.com/patchy631/ai-e
ngineering-hub/tree/main/agentic_rag
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Multimodal distributed AI analyst team
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Claude’s risk analysis, DeepSeek’s data depth, Qwen3’s clarity The new analyst team isn’t human. It’s multimodal and distributed.
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Similar ideas but MCPs disrupted the workflow
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haha sounds like we’ve been playing with similar ideas. haven’t figured it out quite yet and MCPs becoming standard kinda threw a wrench in my flow
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Performance optimization tradeoffs and the need for AI CRM systems
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if it’s for personal use, probably doesn’t matter too much as long as it’s somewhat fast and optimized. If you’re building a tool for lots of ppl I think it starts to matter more. kinda realized I need an AI CRM to build a helpful agent but the CRM is really just a way for me to