memory
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.
Install
npx skills add https://github.com/codeaholicguy/ai-devkit/tree/main/skills/memory
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install codeaholicguy-ai-devkit@llmmart
git clone https://github.com/codeaholicguy/ai-devkit.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole codeaholicguy/ai-devkit collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
AI DevKit Memory CLI
Use npx ai-devkit@latest memory ... as the durable knowledge layer.
Workflow
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 5For broad or risky tasks, search multiple angles: subsystem, error text, framework, command, and task intent.
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.
Search before storing:
npx ai-devkit@latest memory search --query "<knowledge to store>" --tableStore 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:
npx ai-devkit@latest memory search --query "<query>" --table
Options: --query/-q required; --tags; --scope/-s; --limit/-l from 1-20; --table.
Store
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:
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:
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.globalonly 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
--limitrange. - DB path: default is
~/.ai-devkit/memory.db; project config can override it automatically.
Files (ai-devkit)
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agents
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openai.yaml 232 B
interface: display_name: "Memory Assistant" short_description: "AI DevKit · Use memory CLI workflows" default_prompt: "Use $memory to search, store, and update durable knowledge through npx ai-devkit@latest memory commands."
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SKILL.md 3.7 KB
--- 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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