Context Graphs: Give AI Agents Long-Term Memory with FalkorDB
The memory problem in agentic AI is well understood: most agents are stateless. They start fresh every session, have no record of past decisions, and can’t explain why they did something three interactions ago. For demos, that’s fine. For production systems that need to audit, adapt, and coordinate over time, it’s a serious architectural gap. Context graphs are one of the most architecturally interesting answers to that problem — and FalkorDB’s recent technical breakdown is worth understanding even if you don’t use their specific product. ...