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How to find earlier decisions before starting new work with Shared Memory Vault

Query the shared knowledge base so an agent reuses past decisions instead of redoing research.

Short answer: Make sure the knowledge base exists and contains project memory under work memory/; then run a semantic search with your question: python3 ~/.workbuddy/skills/shared-memory-vault/scripts/search.py "<your question>"; open the top results and note any decisions that apply to the new task. All steps.

Who it is forA developer starting a new task in a project that has months of logs, notes and reflections already in the shared vault.

The problemPast decisions and research sit in many files, so agents or people redo work or contradict an earlier choice.

The outcomeA ranked set of relevant past notes and reflections that the agent reads before it plans the new task.

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

  1. Make sure the knowledge base exists and contains project memory under work memory/.
  2. Run a semantic search with your question: python3 ~/.workbuddy/skills/shared-memory-vault/scripts/search.py "<your question>" (inferred, check the README)
  3. Open the top results and note any decisions that apply to the new task.
  4. Have the agent cite those notes in its plan before it starts work.

Prompt for your agent

Using the shared-memory-vault repo, run its semantic search for <question> against the knowledge base at <knowledge base path>. Report the three most relevant notes and one decision from each. Verify that each decision points to a real file in the vault.

Caveat. The README lists search.py under semantic retrieval but does not describe how it takes its query, so confirm the argument format in the script before using the command above.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for songs-aaa/shared-memory-vault and "Find earlier decisions before starting new work"

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