Blog

Insights, tutorials, and updates about AI memory and unified context systems

How to Build Your Second Brain with Membase

How to Build Your Second Brain with Membase

Learn how to build a personal knowledge base for AI agents, why manual memory files fail at scale, and how Membase automates agent memory.

Joshua Park

How to Make Hermes Agent Memory More Powerful with Membase

How to Make Hermes Agent Memory More Powerful with Membase

Hermes Agent has bounded prompt memory and session search. Membase adds provider-backed recall, capture, and graph memory for long-running agents.

Hoonchan Yoon

How to Make OpenClaw Memory More Powerful with Membase

How to Make OpenClaw Memory More Powerful with Membase

Membase adds structured recall, Auto-Capture, and source-aware memory to OpenClaw without replacing its transparent markdown workflow.

Hoonchan Yoon

Why Your AI Agent Forgets You: How Hybrid Memory Fixes It

Why Your AI Agent Forgets You: How Hybrid Memory Fixes It

Learn how hybrid memory for AI agents combines vector search, BM25, graph relationships, recency, and RRF to retrieve the right context.

Shinhyeok Hwang

SShinhyeok Hwang

Agent Memory Beyond RAG: Building Agentic Intelligence

Agent Memory Beyond RAG: Building Agentic Intelligence

Learn how AI agent memory evolved from RAG into read-write, long-term systems for personalization, context management, and multi-agent coordination.

Joshua Park

The Four Moves of Context Engineering in Modern LLM Agents

The Four Moves of Context Engineering in Modern LLM Agents

Learn the four context engineering moves behind Claude, ChatGPT, Cursor, and why write, select, compress, and isolate patterns break in agent swarms.

Joshua Park

Universal Memory MCP: Claude Code Hackathon 2nd Place

Universal Memory MCP: Claude Code Hackathon 2nd Place

How a 3-hour Universal Memory MCP demo won 2nd place at the Claude Code Hackathon and became the foundation for Membase agent memory.

Joshua Park