AI agent memory is broken. Claude Code forgets context, OpenClaw resets sessions at 4 AM, and in multi-agent systems, each agent is on its own. I tested all memory approaches—embedded memory, Obsidian, Mem0, GraphRAG—and found a solution: LightRAG. It's a knowledge graph—a second brain for AI agents that remembers everything: projects, decisions, and the connections between them. It works with Claude Code, OpenClaw, Cursor, and any agent via MCP. It's open-source and installs in 10 minutes.
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In this video: why built-in memory doesn't work, a comparison of 5 memory tools, a live demo of LightRAG on real projects, a full server installation, pitfalls, and a strategy for loading data into a knowledge graph. RAG, embedding, and a knowledge graph database—we'll break it all down in simple terms.
⏱ Timestamps:
0:00 — Introduction
0:33 — Why don't agents remember anything?
3:12 — Memory Options
5:33 — How LightRAG Works
10:29 — Testing It
17:23 — Installation in 10 Minutes
21:46 — Troubleshooting and Loading Strategy
#ai #aiagents #memory #lightrag #knowledgegraph #claudecode #openclaw #chatgpt #openai #mcp #ai #neuralnetworks #automation