# Open Memory Protocol Shares AI Memory Across Models

> Published 2026-06-30 · https://www.promptzone.com/meera_le/open-memory-protocol-shares-ai-memory-across-models-5bao

Open Memory Protocol launched on GitHub as a shared memory layer for Claude, ChatGPT and Curso. The project surfaced in an [HN thread](https://github.com/SMJAI/open-memory-protocol) that reached 26 points and 9 comments.

## What It Is / How It Works

The protocol stores conversation state in one backend that multiple models can read and write. Each supported model connects through a thin adapter instead of maintaining separate memory files.

Adapters translate model-specific message formats into a common schema. The store itself uses standard key-value operations with optional vector search for retrieval.

## How to Try It

Clone the repository and install the Python package. Point each model's client to the same endpoint and memory namespace.

```bash
git clone https://github.com/SMJAI/open-memory-protocol
pip install open-memory-protocol
```

Run the server locally, then configure Claude and ChatGPT clients with the provided adapter URLs.

## Pros and Cons

- Single source of truth reduces duplication across sessions
- Works with three major chat interfaces out of the box
- Requires running an additional service
- No public benchmarks on retrieval latency or token savings yet
- Early HN comments note limited documentation for production use

## Alternatives and Comparisons

LangChain memory modules and Mem0 both offer persistent storage, but each ties closely to one framework. Open Memory Protocol focuses on cross-model compatibility without requiring a full agent framework.

| Feature              | Open Memory Protocol | LangChain Memory | Mem0          |
|----------------------|----------------------|------------------|---------------|
| Cross-model support  | Yes                  | Partial          | No            |
| Local server option  | Yes                  | Yes              | Yes           |
| HN discussion points | 26                   | N/A              | N/A           |
| License              | Not specified        | MIT              | Apache 2.0    |

## Who Should Use This

Developers who switch between Claude, ChatGPT and Curso in the same workflow gain the most. Teams already invested in a single framework such as LangChain see smaller benefits.

Skip it if you need only one model or already run a mature memory layer with measured performance numbers.

## Bottom Line / Verdict

Open Memory Protocol offers a lightweight way to keep one memory store across three chat interfaces, backed by a 26-point HN thread and a public GitHub repository. Early adopters can test it in under ten minutes using the provided adapters.