| 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 (for AI Agents)
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.
Direct Search & Configuration (for Humans)
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.
