triumphsta/walpod___walrus-session-5 — explained in plain English
Analysis updated 2026-05-18
Copy the included system prompt into an AI coding assistant to give it project-aware memory across sessions.
Study how blockchain-backed storage (Walrus Memory on Sui) can be used as a persistence layer for AI assistant memory.
Use as a reference submission for the Walrus Session 5 Memory Prompt Jam competition.
Explore combining Django and HTMX with an OpenAI-powered assistant that retains project context.
| triumphsta/walpod___walrus-session-5 | 00kaku/gallery-slider-block | 04amanrajj/netwatch | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | — | JavaScript | Rust |
| Last pushed | — | 2021-05-19 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 2/5 | 3/5 |
| Audience | developer | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Most of the explanation lives in separate files (problem.md, whatitdoes.md, prompt.md) not summarized here, and it depends on Sui blockchain-based Walrus Memory storage.
Walpod is a submission for something called the Walrus Session 5: Memory Prompt Jam, which appears to be a competition or workshop event focused on giving AI coding assistants better memory. The core idea, as stated in the README, is that most AI assistants forget everything about a project the moment a session ends, and this project offers a prompt meant to give AI coding assistants real, project aware memory of your code. The README itself is very brief and points readers to several other files in the repository for the actual content rather than explaining everything inline. A file called problem.md is said to contain the full breakdown of the memory problem this project addresses. A file called whatitdoes.md is meant to explain what the project actually does. The centerpiece appears to be prompt.md, described as a full, copy and pasteable system prompt, suggesting the main deliverable here is a prompt you can paste into an AI coding assistant rather than a piece of installable software. The listed technology stack includes Django and HTMX for any web component, the OpenAI API for the AI functionality, and something called memwal along with Walrus Memory running on the Sui blockchain's mainnet, which together seem to provide the actual memory storage layer the prompt relies on. The README also references submission.md and links.md for competition submission details, and links out to a separate GitHub repository for trying the project. Because so much of the actual explanation lives in files not included in this summary, this description covers only what the top level README states directly, and the project is best understood as a prompt engineering submission built around a blockchain based memory backend rather than a traditional standalone application.
A submitted system prompt that aims to give AI coding assistants persistent, project-aware memory using a blockchain-backed storage layer.
The README does not state a license, so terms of use and redistribution are unclear.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.