What do you want to do?
5 use cases
Quick start with Shared Memory Vault
- Check you have what it needs: Python to run the standard-library scripts; bash to run vault-init.sh; A cloud-synced directory on your machine.
- Open songs-aaa/shared-memory-vault on GitHub and read the README and license.
- Copy the skill folder into your skills location:
cp -r shared-memory-vault ~/.workbuddy/skills/ - Create the knowledge base in your cloud-synced directory:
bash ~/.workbuddy/skills/shared-memory-vault/scripts/vault-init.sh --dir "~/MyCloud/KnowledgeBase" - Open the new folder and confirm it contains MOC.md, dashboard.md, user memory/, work memory/, context/, references/, _templates/ and skill&tool/.
- Point each agent at SKILL.md so it follows the lifecycle SOP automatically.
These steps come from our top use case, Set up a shared knowledge base in a cloud folder, which also has a copy-paste agent prompt.
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About this repo
- Who it is forDevelopers and power users running several AI agents or devices who need them to share context without losing work or contradicting each other.
- Why it is hot100 stars, launched 51 days ago
- Sourcegithub.com/songs-aaa/shared-memory-vault · Back to Hot repos
Requirements
- Python to run the standard-library scripts
- bash to run vault-init.sh
- A cloud-synced directory on your machine
- An AI agent that can read SKILL.md and follow its lifecycle SOP
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Questions about Shared Memory Vault
What is Shared Memory Vault?
A Markdown-based shared memory and governance toolkit that lets multiple AI agents and devices read and write one cloud-synced knowledge base. It is an open-source project on GitHub: https://github.com/songs-aaa/shared-memory-vault.
How do I use Shared Memory Vault?
Copy the skill folder into your skills location: cp -r shared-memory-vault ~/.workbuddy/skills/; then create the knowledge base in your cloud-synced directory: bash ~/.workbuddy/skills/shared-memory-vault/scripts/vault-init.sh --dir "~/MyCloud/KnowledgeBase"; open the new folder and confirm it contains MOC.md, dashboard.md, user memory/, work memory/, context/, references/, _templates/ and skill&tool/. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Shared Memory Vault for?
Developers and power users running several AI agents or devices who need them to share context without losing work or contradicting each other.
What can I do with Shared Memory Vault?
5 use cases so far, for example: Set up a shared knowledge base in a cloud folder; Hand off an unfinished task from one agent to another; Score a knowledge base for governance and provenance. Each has steps and a copy-paste agent prompt.
What do I need to run Shared Memory Vault?
Python to run the standard-library scripts; bash to run vault-init.sh; A cloud-synced directory on your machine; An AI agent that can read SKILL.md and follow its lifecycle SOP.
What are alternatives to Shared Memory Vault?
Other hot AI repos in Work and operations: Solidcraft, Browser Use, Next AI Draw.io, Pilot Deck, OpenDots.
Is Shared Memory Vault safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.