AI DevKit · Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress.
Scanned 9/2/2026
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---
name: memory
description: AI DevKit · Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress.
---
# 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:
```bash
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:
```bash
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
```bash
npx ai-devkit@latest memory search \
--query "<query>" \
--tags "<tags>" \
--scope "<scope>" \
--limit 5
```
Use `--table` to get IDs for updates:
```bash
npx ai-devkit@latest memory search --query "<query>" --table
```
Options: `--query/-q` required; `--tags`; `--scope/-s`; `--limit/-l` from 1-20; `--table`.
### Store
```bash
npx ai-devkit@latest memory store \
--title "<actionable title, 10-100 chars>" \
--content "<context, guidance, evidence, exceptions>" \
--tags "<lowercase,tags>" \
--scope "<global|project:name|repo:org/repo>"
```
Use this content shape when helpful:
```text
Context: Where this applies.
Guidance: What to do.
Evidence: File, command, test, or user instruction.
Exceptions: When not to apply it.
```
### Update
Find the ID with `search --table`, then update only changed fields:
```bash
npx ai-devkit@latest memory update \
--id "<memory-id>" \
--title "<updated title>" \
--content "<updated content>" \
--tags "<replacement,tags>" \
--scope "<updated scope>"
```
`--tags` replaces all existing tags.
## Scoping
Use the narrowest useful scope:
- `repo:<org/repo>` for one repository.
- `project:<name>` for one app, product, or workspace.
- `global` only for knowledge that applies across unrelated projects.
If unsure, use a narrower scope.
## Troubleshooting
- CLI missing: run `npx ai-devkit@latest --version`.
- Duplicate title: search, then update the existing item if it is the same knowledge.
- Empty results: broaden terms, remove filters, or search symptoms and subsystem names separately.
- Validation error: check title/content lengths, query length, and `--limit` range.
- DB path: default is `~/.ai-devkit/memory.db`; project config can override it automatically.
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