remember
The `/remember` command stores reusable development guidance in a knowledge memory service within the AI DevKit. Use it to capture and organize project-specific knowledge such as code patterns, implementation guidelines, or testing standards that can be retrieved and referenced across development workflows. The command validates content quality, searches for duplicates before storing, and supports tagging and scope specification for organized knowledge management.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/codeaholicguy/ai-devkit/HEAD/commands/remember.md -o ~/.claude/commands/remember.mdremember.md
Help me store it in the knowledge memory service. 1. **Capture Knowledge** — If not already provided, ask for: a short explicit title (5-12 words), detailed content (markdown, examples encouraged), optional tags (keywords like "api", "testing"), and optional scope (`global`, `project:<name>`, `repo:<name>`). If vague, ask follow-ups to make it specific and actionable. 2. **Search Before Store** — Check for existing similar entries first with `npx ai-devkit@latest memory search --query "<topic>"` to avoid duplicates. 3. **Validate Quality** — Ensure it is specific and reusable (not generic advice). Avoid storing secrets or sensitive data. 4. **Store** — Call `memory_storeKnowledge` with title, content, tags, scope. If MCP tools are unavailable, use `npx ai-devkit@latest memory store` instead. 5. **Confirm** — Summarize what was saved and offer to retrieve related memory entries when helpful. 6. **Next Command Guidance** — Continue with the current lifecycle phase command (`/execute-plan`, `/check-implementation`, `/writing-test`, etc.) as needed.
AI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to find another active agent, read its recent context, send it information, or request information back.
AI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.
AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions.
AI DevKit · Use when the user asks to brainstorm, ideate, generate ideas, expand options, challenge ideas, pressure-test ideas, compare concepts, narrow choices, name something, plan content angles, explore strategy, evaluate product ideas, technical approaches, experiments, or decisions.
AI DevKit · Compare implementation with design and requirements docs to ensure alignment.
AI DevKit · Pre-push code review against design docs.
AI DevKit · Safe git commit workflow for AI coding agents. Use when the user asks to commit, prepare a commit, stage changes, create a PR-ready checkpoint, or finish work with a conventional commit while avoiding unrelated user changes.
AI DevKit · Design phase guidance for reviewing feature design against requirements. Use when the user wants to validate architecture, review design docs, resolve design trade-offs, or run dev-lifecycle phase 3.