AI DevKit Memory CLI

Use npx ai-devkit@latest memory ... as the durable knowledge layer.

Workflow

1. For implementation, debugging, review, planning, or documentation tasks, search before deep work unless the task is trivial:

   npx ai-devkit@latest memory search --query "<task, subsystem, error, or convention>" --limit 5
   

   For broad or risky tasks, search multiple angles: subsystem, error text, framework, command, and task intent.

2. Use results as context:

   • Trust repo files, tests, fresh command output, and explicit user instructions over memory.
   • If memory conflicts with verified evidence, use the evidence and update the stale memory.
   • Mention memory only when it changes the plan or avoids asking the user again.

3. Search before storing:

   npx ai-devkit@latest memory search --query "<knowledge to store>" --table
   

4. Store or update only after the quality gate passes.

Quality Gate

Before storing, all must be true:

• Future sessions are likely to reuse it.
• It is verified by code, docs, tests, command output, or explicit user instruction.
• It is not merely a restatement of obvious nearby files unless it prevents repeated agent mistakes.
• It is scoped narrowly enough.
• Existing memory does not already cover it.
• It contains no secrets, credentials, private customer data, personal data, raw logs, or temporary paths.

Store:

• Project conventions, user preferences, durable decisions.
• Reusable fixes, testing patterns, commands, setup gotchas.
• Non-obvious constraints, architecture rules, failure patterns.

Do not store:

• Task progress, transcripts, speculation, generic programming facts.
• Raw errors without diagnosis.
• Anything the user did not intend to persist.

Commands

Search

npx ai-devkit@latest memory search \
  --query "<query>" \
  --tags "<tags>" \
  --scope "<scope>" \
  --limit 5

Use --table to get IDs for updates: