Practical guides to agent memory.
These are not release notes. They are the questions people ask when an AI coding agent keeps forgetting decisions, preferences, project context, and the fixes they already paid for in time and tokens.
Agent memory security: how memory gets poisoned and what to do about it
Memory poisoning plants attacker-controlled text into an agent's memory. Remnic defends the write path with trust zones, provenance, and an explicit review queue.
02How to give Cursor persistent memory
Point Cursor at a local Remnic server over MCP and it can recall and store project memory that survives new chats, restarts, and branch switches.
03Export your ChatGPT memory and import it into Remnic
Request an OpenAI data export, then move your ChatGPT saved memories into Remnic with the @remnic/import-chatgpt package, a dry run, and provenance tagging.
04What is procedural memory for AI agents?
Procedural memory stores how an agent does a recurring multi-step task, not just isolated facts. Remnic captures runbooks and mines them from real work.
05Self-hosting an MCP memory server
Run Remnic as a standalone HTTP and MCP memory server: install the CLI, start the daemon, add bearer tokens and namespaces, or deploy the Docker image with QMD bundled.
06One memory across Claude Code and Codex CLI
Install both connectors against one Remnic daemon and a preference you set in Claude Code can be recalled in Codex CLI. Memory stays scoped per project.
07Import Supermemory memories into Remnic
Move a Supermemory JSON export into Remnic with the optional @remnic/import-supermemory package, dry-run checks, and local provenance.
08Agent memory vs RAG: what is the difference?
Agent memory and RAG both retrieve context, but agent memory stores evolving facts, decisions, preferences, and procedures from work over time.
09What is AI agent memory?
AI agent memory is the system that lets agents keep useful facts, decisions, preferences, and procedures across sessions.
10How to give Claude Code persistent memory
Claude Code memory works best when recall happens before the model sees the task and durable facts are stored locally after the session.
11Why coding agents forget context between sessions
AI coding agents forget context because session history, context windows, and tool calls are not durable project memory.
12Local-first AI memory vs hosted memory APIs
Local-first AI memory keeps agent context on your machine, while hosted memory APIs trade control for managed infrastructure.
13What is an MCP memory server?
An MCP memory server gives AI agents a standard way to store, recall, inspect, and share memory across compatible clients.