The original title is about AI agents needing three types of memory and how the author built them. Let me rewrite this for a mobile feed.

Short summary

Most agent memory systems use a single vector database, but cognitive science suggests three types: semantic (knowledge), episodic (past experiences), and procedural (skills). The author built agents using this architecture with Cognee and Synapse-DB, achieving 58% accuracy on SQL generation vs. 26% without memory—a 32-percentage-point improvement on claude-haiku-4-5 for £0.465. The system enables agents to learn problem-solving approaches rather than simply retrieve similar answers.

• •Three memory types (semantic/episodic/procedural) outperform single vector-database approach for agents
• •Implementation uses Cognee (knowledge graph) + Synapse-DB (procedural memory + decay)
• •Measured 32-point improvement in accuracy: 26% → 58% on SQL generation with claude-haiku-4-5

Generated with AI, which can make mistakes.