by SMJAI · MCP Server · ★ 65
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Open Memory Protocol (OMP) An open standard for portable, interoperable AI memory across tools, sessions, and devices. The Problem Every AI tool remembers you differently — and only within its own walls. Claude knows what you told it yesterday. Cursor doesn't. ChatGPT learned your preferences. Your custom agent hasn't. Copilot saw your code style. Your terminal AI is starting from zero. Every time you switch tools, your AI forgets you. You repeat yourself. Context is lost. The AI that was finally starting to know you resets to a stranger. This is the AI memory silo problem. And it has the same solution as every silo problem before it: an open protocol. What is OMP? Open Memory Protocol is a vendor-neutral specification for how AI tools store, retrieve, and share memory about users and their context. It is: A specification — a precise definition of memory objects, storage format, and HTTP API A reference server — self-hostable, open-source, runs in Docker in one command A set of SDKs — TypeScript and Python libraries for building OMP-compatible tools A set of adapters — plug-ins for Claude (MCP), OpenAI, Cursor, and more Any AI tool that implements OMP can
| Stars | 65 |
| Forks | 2 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 69.71909475477/100 |
| Last Updated | 2026-07-02 |
| Created | 2026-06-29 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~14k |
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open-memory-protocol is An open standard for portable, interoperable AI memory across tools, sessions, and devices.. It is categorized as a MCP Server with 65 GitHub stars.
open-memory-protocol is primarily written in TypeScript. It covers topics such as ai-memory, claude, claude-ai.
You can find installation instructions and usage details in the open-memory-protocol GitHub repository at github.com/SMJAI/open-memory-protocol. The project has 65 stars and 2 forks, indicating an active community.
The top alternatives to open-memory-protocol on Agent Skills Hub include claude-historian-mcp, Grov, omega-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.