Remembering Conversations ยท diff
v1.1.0 to v1.1.0
13 added, 37 removed. Audit A to A.
---
name: Remembering Conversations
description: Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search
when_to_use: when partner mentions past discussions, debugging familiar issues, or seeking historical context about decisions and patterns
version: 1.1.0
---
# Remembering Conversations
Search archived conversations using semantic similarity or exact text matching.
**Core principle:** Search before reinventing.
**Announce:** "I'm searching previous conversations for [topic]."
**Setup:** See INDEXING.md
## When to Use
**Search when:**
- Your human partner mentions "we discussed this before"
- Debugging similar issues
- Looking for architectural decisions or patterns
- Before implementing something familiar
**Don't search when:**
- Info in current conversation
- Question about current codebase (use Grep/Read)
- ## In-Session Use
-
- **Always use subagents** (50-100x context savings). See skills/using-skills for workflow.
-
- **Manual/CLI use:** Direct search (below) for humans outside Claude Code sessions.
-
- ## Direct Search (Manual/CLI)
-
- **Tool:** `${SUPERPOWERS_SKILLS_ROOT}/skills/collaboration/remembering-conversations/tool/search-conversations`
-
- **Modes:**
- ```bash
- search-conversations "query" # Vector similarity (default)
- search-conversations --text "exact" # Exact string match
- search-conversations --both "query" # Both modes
- ```
-
- **Flags:**
- ```bash
- --after YYYY-MM-DD # Filter by date
- --before YYYY-MM-DD # Filter by date
- --limit N # Max results (default: 10)
- --help # Full usage
- ```
-
- **Examples:**
- ```bash
- # Semantic search
- search-conversations "React Router authentication errors"
-
- # Find git SHA
- search-conversations --text "a1b2c3d4"
+ ## In-Session Use (for AI Agents)
- # Time range
- search-conversations --after 2025-09-01 "refactoring"
- ```
+ Use these native tools directly:
+ - `rmemory_search`: Search through long-term structured memories (L1).
+ - `rmemory_conversation_search`: Search past raw conversation exchanges (L0).
+ - `rmemory_save`: Save a structured memory (L1) to project or global scope.
- Returns: project, date, conversation summary, matched exchange, similarity %, file path.
+ ## Direct Search & Configuration (for Humans)
- **For details:** Run `search-conversations --help`
+ Use these slash commands in the CLI:
+ - `/memory search <query>`: Semantic search through long-term memories.
+ - `/memory status`: Check RMemory status and current session key.
+ - `/memory add <key> <value>`: Save/overwrite a long-term memory.
+ - `/memory delete <key>`: Delete a memory.
+ - `/setting-rmemory <on|off>`: Toggle RMemory.
+ - `/setting-rmemory provider <local|openai>`: Set embedding provider.