SuperAPI AI Directory

mem0-context-loader

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Updated 10-16 00:24

About this skill

Context Loader

Pre-fetches relevant memories to prime context before working on a task.

Steps

  1. Extract topics from current message/task. Identify: file paths, module names, feature areas, error patterns.

  2. Call search_memories once with a focused question about the task: filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10.

  3. Output compact context block (max 10 memories):

context-loader: loaded <N> memories for "<task summary>"
  - [decision] <content> [mem0:<short_id>]
  - [convention] <content> [mem0:<short_id>]
  - [anti_pattern] <content> [mem0:<short_id>]
  1. If zero results: output nothing. Don't announce empty context.

Constraints

  • Read-only — never modify or delete memories
  • Max 10 memories returned (most relevant only)
  • Silent on empty — only surfaces findings if relevant context exists
  • Skip memories already visible in current session context

Output formatting

IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim — markdown like bold, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.