How I built AgentRAM: a memory API for AI agents without a vector DB

📰 Dev.to · Sean Markwei

Learn how to build a memory API for AI agents without a vector database and understand its significance in AI development

advanced Published 28 May 2026
Action Steps
  1. Design a memory API architecture using existing databases
  2. Implement data storage and retrieval mechanisms
  3. Integrate the API with AI agents
  4. Test and optimize the API for performance
  5. Deploy the API for production use
Who Needs to Know This

AI engineers and developers can benefit from this knowledge to improve their AI agents' performance and efficiency, and product managers can leverage this technology to enhance their products' capabilities

Key Insight

💡 You can build a functional memory API for AI agents without relying on a vector database

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🚀 Built AgentRAM, a memory API for AI agents without a vector DB! 🤖

Key Takeaways

Learn how to build a memory API for AI agents without a vector database and understand its significance in AI development

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