tpsaint/fictional-dollop/mem0-context-loader

Context Loader

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

When to use

• Session start (invoke manually or auto-triggered by skill description matching)
• User starts work on a specific feature or file set
• Complex multi-step task begins
• User says "what do we know about X" or "context for X"

Steps

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

1. Run 2-4 parallel `search_memories` calls with different angles:

1. Deduplicate results by memory ID across all search responses.

1. 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.