MemoryRouter
A persistent AI memory layer across ChatGPT, Claude, Codex and other tools, officially said to migrate ChatGPT memories, connect various AI tools via MCP, and make backgrounds and project contexts follow users at all times.
Updated: 2026-10-27
What is MemoryRouter?
The problem MemoryRouter solves is "having to start from scratch every time you switch AIs". It brings the preferences, projects, and background you've accumulated in ChatGPT to Claude, and further allows ChatGPT, Claude, Claude Code, Codex, OpenClaw, DeepSeek Harness, and any MCP client to share the same set of memories. The official statement is that memories belong to the user, not to a single vendor.
Who is it for?
- Professional users who use multiple AI assistants or coding tools simultaneously and do not want to repeatedly introduce their background.
- Users who are switching from ChatGPT to Claude or other models and want to retain their historical context.
- Enterprises that need to share company knowledge and control access permissions.
- Developers who want to add a persistent memory layer to their own applications or agents.
- **Hierarchical Import**: First complete a basic migration that takes about two minutes, then import the officially exported files as needed to recover key details from years of conversations.
Key features
6ChatGPT Memory Migration
Copy a prompt to ChatGPT, ask it to export your memory profile, review each item one by one and then save it; it also supports importing officially exported chat history to restore details.
Unified MCP Connector
Access multiple tools through a single address, trace project context in Claude Code, continue technical decisions in Codex, and maintain memory across compressions and restarts in OpenClaw.
CLI Management
Search, store and manage memories in the terminal and integrate them into your workflow.
Context Companion
Your writing preferences, current tasks, relevant people, and project status migrate with each conversation, eliminating the need to repeatedly paste background information.
Team Shared Memory
Provides corporate context and access control for enterprises, ensuring new members' AIs understand the company background from day one.
Developer Interface
Provides API, MCP server, CLI and framework guides for building persistent memory into your own products.
How to use MemoryRouter
- 1After the migration or import is complete, check each generated memory entry one by one, delete outdated or irrelevant content, and keep the context accurate for each tool.
- 2First, perform the basic migration: copy the official prompts to ChatGPT, review the generated memory profiles, and only keep the entries you wish to retain.
- 3For long-term projects, use official export and import to restore key details from old conversations, then confirm each item one by one.
- 4Add the MCP address to the settings of common tools and verify that each tool can read the same set of memories.
- 5Use the CLI to establish your own memory naming conventions for easier subsequent retrieval and cleanup.
Traffic & popularity
Data month Sep 2026
MemoryRouter receives about 278 visits per month and ranks #46,841,248 worldwide.
Monthly visits
4 monthsTraffic sources
- Direct37.9%
- Search31.2%
- Referrals12.1%
- Social7.1%
- Display ads3.8%
- Other7.9%
Top countries
- Germany52.4%
- Indonesia47.6%
Estimated from third-party traffic data.
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