$ loading_
Give AI coding assistants searchable long-term memory for decisions and discoveries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Trapic Core" yet — see the docs or source repo.
Please turn our newly agreed project conventions into a structured long-term memory record: backend APIs use a unified response format, commits follow Conventional Commits, and frontend components use PascalCase. Add tags "conventions" and "code-style".
A structured memory entry that stores team conventions with searchable tags.
Search this project's memory for past decisions related to "authentication architecture," especially why JWT was chosen and sessions were rejected, then summarize the results chronologically.
Relevant memory records plus a summary of key reasons, timeline, and conclusions.
Convert this build failure investigation into a structured discovery: the root cause was inconsistent Node versions causing dependency install errors, the fix was standardizing on Node 20, and add tags "build," "troubleshooting," and "environment".
A reusable troubleshooting memory entry for future search and avoiding repeated issues.
Quickly trace code relationships and execution paths with a single AI tool call.
Give AI coding assistants persistent memory, project tracking, and structured handoffs.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Give AI coding assistants local long-term memory with searchable lessons and patterns.
Build, debug, and manage software tasks with natural language across LLMs.