SMJAI Launches Open Memory Protocol to Standardize AI Memory Across Tools
A new open-source standard aims to solve the AI memory silo problem, letting users share context across ChatGPT, Claude, and developer tools.
- The Open Memory Protocol (OMP) is an open, vendor-neutral specification designed to make AI memory portable across different applications and devices.
- Developed by SMJAI, the protocol’s initial repository includes a core specification, server packages, and adapters for Claude’s Model Context Protocol (MCP).
- The standard addresses the memory silo problem, where user preferences and context are lost when switching between different AI assistants.
A new open-source initiative aims to break down the proprietary walls that prevent AI assistants from sharing user history and preferences. According to the project’s GitHub repository, the Open Memory Protocol (OMP) has been introduced as a vendor-neutral standard designed to make AI memory portable and interoperable across different platforms, sessions, and devices.
Currently, AI memory is highly fragmented. A preference learned by ChatGPT does not transfer to Claude, and code styles recognized by GitHub Copilot remain invisible to terminal-based AI tools. The creators at SMJAI argue that this fragmentation forces users to constantly repeat context, treating the AI as a stranger every time they switch applications. OMP proposes a unified specification for how AI tools store, retrieve, and exchange user context. The project’s current codebase includes a core specification, server packages, and dedicated adapters to interface with other systems.
Why it matters
As users increasingly employ multiple specialized AI models for different tasks, maintaining a consistent context has become a major bottleneck. The OMP repository shows initial development of concrete implementations, including adapters for Anthropic’s Claude Model Context Protocol (MCP) alongside core server packages. By standardizing how memory is structured, developers can build applications that tap into a single, user-controlled memory bank. According to the repository, this architecture could allow a local or cloud-based memory server to act as a single source of truth for all connected AI agents, reducing setup friction and improving response relevance across different tools.
What it means for you
For everyday users and developers, this protocol could eventually eliminate the need to retrain new AI tools on your specific preferences. Instead of manually configuring custom instructions for every new service, a single OMP-compliant store could instantly brief a new chatbot on your background, preferred coding languages, or writing style. While the protocol is in its early stages on GitHub, its focus on interoperability aligns with a broader industry push toward modular AI systems. If you are looking for tools that already offer robust native memory and customization features, you can compare the leading options in our guide to the best AI chatbots.
Frequently asked questions
What is the Open Memory Protocol?
It is an open-source, vendor-neutral specification created to allow different AI assistants and development tools to share a single, portable memory store.
Who created the Open Memory Protocol?
The protocol is developed by SMJAI and is hosted as an open-source project on GitHub.
Which AI tools are supported by the Open Memory Protocol?
The repository targets memory silos across tools like Claude, ChatGPT, Cursor, and GitHub Copilot, and includes early adapters for Claude’s Model Context Protocol (MCP).
Read our hands-on evaluations of the best AI chatbots to see how today’s top models handle memory and personalization out of the box.
Best AI Chatbots in 2026 (Tested & Ranked) →Source: Hacker News. Published June 30, 2026.
Ali has hands-on tested 50+ AI tools and tracks model releases daily. Every verdict here comes from real, paid usage — never vendor demos or sponsored placements.
AI Tools Worth is independent and unsponsored. Some linked guides contain affiliate links — they never change our verdicts.