Who it is forA researcher or developer running several projects in one knowledge base who wants lessons from one project to surface in the others.
The problemLessons learned in one project stay buried, and related notes across projects never reference each other.
The outcomeReflection notes summarising recent work and cross-project links between related memories.
What you need first
- 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
Steps
- Generate reflections from recent project memory:
python3 ~/.workbuddy/skills/shared-memory-vault/scripts/reflect.py(inferred, check the README) - Review the new reflection notes in the project memory area.
- Build cross-project links between memories:
python3 ~/.workbuddy/skills/shared-memory-vault/scripts/link-memory.py(inferred, check the README) - Open the dashboard or MOC.md to confirm the new links appear in navigation.
Prompt for your agent
Using the shared-memory-vault repo, run its reflection and cross-project linking scripts on the knowledge base at <knowledge base path>. Report how many reflection notes were created and how many links were added. Verify that each new link points to an existing note.
Caveat. The README places reflection and linking on a milestone or schedule, but it does not say how those triggers are set up, so schedule them yourself and check the script output.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for songs-aaa/shared-memory-vault and "Distill reflections and link memories across projects"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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