Mem Search

Memory Search

Search past work across all sessions. Simple workflow: search → get IDs → fetch details by ID.

When to Use

Use when users ask about PREVIOUS sessions (not current conversation):

• "Did we already fix this?"
• "How did we solve X last time?"
• "What happened last week?"

The Workflow

ALWAYS follow this exact flow:

1. Search - Get an index of results with IDs
2. Review - Look at titles/dates, pick relevant IDs
3. Fetch - Get full details ONLY for those IDs

Step 1: Search Everything

curl "http://localhost:38888/api/search?query=authentication&format=index&limit=5"

Required parameters:

• query - Search term
• format=index - ALWAYS start with index (lightweight)
• limit=5 - Start small (3-5 results)

Returns:

1. [feature] Added JWT authentication
   Date: 11/17/2025, 3:48:45 PM
   ID: 11131

2. [bugfix] Fixed auth token expiration
   Date: 11/16/2025, 2:15:22 PM
   ID: 10942

Step 2: Pick IDs

Review the index results. Identify which IDs are actually relevant. Discard the rest.

Step 3: Fetch by ID

For each relevant ID, fetch full details:

# Fetch observation
curl "http://localhost:38888/api/observation/11131"

# Fetch session
curl "http://localhost:38888/api/session/2005"

# Fetch prompt
curl "http://localhost:38888/api/prompt/5421"

ID formats:

• Observations: Just the number (11131)
• Sessions: Just the number (2005) from "S2005"
• Prompts: Just the number (5421)

Search Parameters

Basic:

• query - What to search for (required)
• format - "index" or "full" (always use "index" first)
• limit - How many results (default 5, max 100)

Filters (optional):

• type - Filter to "observations", "sessions", or "prompts"
• project - Filter by project name
• dateRange[start] - Start date (YYYY-MM-DD)
• dateRange[end] - End date (YYYY-MM-DD)
• obs_type - Filter observations by: bugfix, feature, decision, discovery, change

Examples

Find recent bug fixes:

curl "http://localhost:38888/api/search?query=bug&type=observations&obs_type=bugfix&format=index&limit=5"

Find what happened last week:

curl "http://localhost:38888/api/search?query=&type=observations&dateRange[start]=2025-11-11&format=index&limit=10"

Search everything:

curl "http://localhost:38888/api/search?query=database+migration&format=index&limit=5"

Why This Workflow?

Token efficiency:

• Index format: ~50-100 tokens per result
• Full format: ~500-1000 tokens per result
• 10x difference - only fetch full when you know it's relevant

Clarity:

• See everything first
• Pick what matters
• Get details only for what you need

Error Handling

If search fails, tell the user the worker isn't available and suggest:

pm2 list  # Check if worker is running

Remember: ALWAYS search with format=index first. ALWAYS fetch by ID for details. The IDs are there for a reason - USE THEM.