Blog
Insights, tutorials, and updates about AI memory and unified context systems
How to Build Your Second Brain with Tvix
Learn how to build a personal knowledge base for AI agents, why manual memory files fail at scale, and how Tvix automates agent memory.
How to Make Hermes Agent Memory More Powerful with Tvix
Hermes Agent has bounded prompt memory and session search. Tvix adds provider-backed recall, capture, and graph memory for long-running agents.
How to Make OpenClaw Memory More Powerful with Tvix
Tvix adds structured recall, Auto-Capture, and source-aware memory to OpenClaw without replacing its transparent markdown workflow.
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.
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.
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.
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 Tvix agent memory.