---
title: ai memory tagged articles
canonical_url: https://developers.phasoric.com/blog/tags/ai-memory
markdown_url: https://developers.phasoric.com/blog/tags/ai-memory.md
---
# ai memory tagged articles

- [MCP Connected but Can't Find Notes? A Troubleshooting Guide](https://phasoric.com/blog/mcp-connected-but-no-notes-troubleshooting), Your AI client connects through MCP but cannot find known notes. Diagnose authentication, mappings, Context Scope, local-only data, provider permissions and search.
- [RAG vs. Persistent AI Memory: Why Retrieval Alone Falls Short](https://phasoric.com/blog/rag-vs-persistent-ai-memory), Retrieval-augmented generation (RAG) is a valuable way to bring documents into an AI answer. It is not, on its own, a complete system for remembering what matters over time. The distinction matters most when facts change, authorities disagree, or a d
- [How to Give Coding Agents Persistent Project Memory](https://phasoric.com/blog/persistent-memory-for-coding-agents), Coding assistants are excellent at working inside a local task. Problems emerge when a second session does not know which migrations ran, why an API decision was made, or what a previous agent discovered. Persistent project memory is a workflow, not 
- [Why ChatGPT Forgets Your Project Context—and What to Do About It](https://phasoric.com/blog/why-chatgpt-forgets-project-context), An assistant can give a precise answer on Monday and ask for the same background on Thursday. This is not necessarily a failure of intelligence. It is often a failure of context continuity. Project decisions may be buried in a chat, scattered across 
- [Stop Starting Over With Your AI](https://phasoric.com/blog/stop-starting-over-with-your-ai), AI models keep getting smarter, but every new session can still feel like starting over. Durable project context may be the missing layer between powerful AI and useful long-term collaboration.