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what is walpod___walrus-session-5 fr?

triumphsta/walpod___walrus-session-5 — explained in plain English

Analysis updated 2026-05-18

0Audience · developerComplexity · 3/5Setup · moderate

tl;dr

A submitted system prompt that aims to give AI coding assistants persistent, project-aware memory using a blockchain-backed storage layer.

vibe map

mindmap
  root((walpod))
    What it does
      Project aware AI memory
      Copy paste system prompt
      Hackathon submission
    Problem
      Assistants forget context
      Sessions reset memory
    Tech stack
      Django and HTMX
      OpenAI API
      Walrus Memory on Sui
    Docs structure
      problem.md
      whatitdoes.md
      prompt.md
    Use cases
      Give assistant memory
      Study blockchain storage

Code map

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what do people make with this?

VIBE 1

Copy the included system prompt into an AI coding assistant to give it project-aware memory across sessions.

VIBE 2

Study how blockchain-backed storage (Walrus Memory on Sui) can be used as a persistence layer for AI assistant memory.

VIBE 3

Use as a reference submission for the Walrus Session 5 Memory Prompt Jam competition.

VIBE 4

Explore combining Django and HTMX with an OpenAI-powered assistant that retains project context.

what's the stack?

DjangoHTMXOpenAI APISui blockchainWalrus Memory

how it stacks up fr

triumphsta/walpod___walrus-session-500kaku/gallery-slider-block04amanrajj/netwatch
Stars00
LanguageJavaScriptRust
Last pushed2021-05-19
MaintenanceDormant
Setup difficultymoderateeasymoderate
Complexity3/52/53/5
Audiencedevelopergeneralops devops

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · moderate time til it works · 30min

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.

The README does not state a license, so terms of use and redistribution are unclear.

in plain english

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.

prompts (copy fr)

prompt 1
Show me the copy-pasteable system prompt in prompt.md and explain how it gives an AI assistant memory of my project.
prompt 2
Explain how memwal and Walrus Memory on Sui mainnet are used to store AI assistant memory in this project.
prompt 3
Help me adapt this memory prompt approach to work with a different AI backend instead of the OpenAI API.
prompt 4
Summarize the problem this project is solving based on problem.md and whatitdoes.md.

Frequently asked questions

what is walpod___walrus-session-5 fr?

A submitted system prompt that aims to give AI coding assistants persistent, project-aware memory using a blockchain-backed storage layer.

What license does walpod___walrus-session-5 use?

The README does not state a license, so terms of use and redistribution are unclear.

How hard is walpod___walrus-session-5 to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is walpod___walrus-session-5 for?

Mainly developer.

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