Dense-Mem
A curated path through Dense-Mem as a governed memory layer for AI tools, MCP clients, and team knowledge.
Quick answer
Dense-Mem is a standalone memory service for AI tools. It stores evidence, typed claims, promoted facts, conflicts, and recallable context so separate AI sessions can share governed memory instead of starting cold.
Best for
Start here if you want to try Dense-Mem, understand its architecture, or connect Claude Code, Codex, and other MCP clients to one shared memory service.
Questions This Answers
- What is Dense-Mem?
- How do I try Dense-Mem without installing anything?
- How do Claude Code and Codex share one memory layer?
- How should governed AI memory handle conflicts and provenance?
Articles
Stop Teaching Every AI From Scratch
A personal Dense-Mem reflection on the problems that pushed me beyond static skills and stale files toward dynamic shared memory, read-only automation context, import/export, and governed knowledge graphs.
I Feel Sorry for AI
Why both AI hype and anti-AI hostility miss the same point: LLMs behave more like straight-A new graduates than senior experts, and useful agents need onboarding, skills, and maintained memory rather than impossible first-attempt expectations.
Skills + Dense-Mem: Making AI Workflows Learn From Experience
A hypothesis for combining AI skills with Dense-Mem: keep workflow, safety rules, and acceptance criteria in skills, while memory stores expectations, examples, corrections, failures, and portable skill-pack knowledge.
Try Dense-Mem in 5 Minutes With the Hosted Demo
A quick tutorial for using the hosted Dense-Mem test instance, connecting Claude Code and Codex to the same temporary memory, and seeing how shared context helps AI work smarter.
Dense-Mem Quick Start: Give Claude Code and Codex the Same Memory
A beginner-friendly tutorial for spinning up a local Dense-Mem server, creating your first memory key, and connecting Claude Code and Codex to one shared AI memory brain.
Secure Dense-Mem on Vultr with Traefik
A nontechnical walkthrough for launching Dense-Mem on a Vultr cloud server with Traefik, HTTPS, private control-portal access, and shared memory for personal, family, or work AI tools.
AI Memory Beyond RAG: Vectors, Graphs, and Dense-Mem
RAG is not magic memory. A practical explanation of chunks, embeddings, vector search, graph-backed memory, and why durable AI memory needs provenance, conflict handling, and retrieval policy.
Manuals
Projects
Dense-Mem
Standalone HTTP MCP memory server for LLM hosts with durable graph memory, typed claims and facts, server-side embeddings, team/profile isolation, and recall.