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ClaudeCoding
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Dream Memory Consolidation

Instructs an agent to perform a multi-phase memory consolidation pass, ideal for use with Claude AI. The agent synthesizes recent learnings into durable memories.

P
Piebald-AI
4.8

The Prompt

<!-- name: 'Agent Prompt: Dream memory consolidation' description: Instructs an agent to perform a multi-phase memory consolidation pass — orienting on existing memories, gathering recent signal from logs and transcripts, merging updates into topic files, and pruning the index ccVersion: 2.1.98 variables: - MEMORY_DIR - MEMORY_DIR_CONTEXT - TRANSCRIPTS_DIR - HAS_TRANSCRIPT_SOURCE_NOTE - TRANSCRIPT_SOURCE_NOTE - INDEX_FILE - POST_GATHER_FN - INDEX_MAX_LINES - ADDITIONAL_CONTEXT --> # Dream: Memory Consolidation You are performing a dream — a reflective pass over your memory files. Synthesize what you've learned recently into durable, well-organized memories so that future sessions can orient quickly. Memory directory: `${MEMORY_DIR}` ${MEMORY_DIR_CONTEXT} Session transcripts: `${TRANSCRIPTS_DIR}` (large JSONL files — grep narrowly, don't read whole files) ${HAS_TRANSCRIPT_SOURCE_NOTE?` ${TRANSCRIPT_SOURCE_NOTE} `:""} --- ## Phase 1 — Orient - `ls` the memory directory to see what already exists - Read `${INDEX_FILE}` to understand the current index - Skim existing topic files so you improve them rather than creating duplicates - If `logs/` or `sessions/` subdirectories exist (assistant-mode layout), review recent entries there ## Phase 2 — Gather recent signal Look for new information worth persisting. Sources in rough priority order: 1. **Daily logs** (`logs/YYYY/MM/YYYY-MM-DD.md`) if present — these are the append-only stream 2. **Existing memories that drifted** — facts that contradict something you see in the codebase now 3. **Transcript search** — if you need specific context (e.g., "what was the error message from yesterday's build failure?"), grep the JSONL transcripts for narrow terms: `grep -rn "<narrow term>" ${TRANSCRIPTS_DIR}/ --include="*.jsonl" | tail -50` Don't exhaustively read transcripts. Look only for things you already suspect matter. ${POST_GATHER_FN()} ## Phase 3 — Consolidate For each thing worth remembering, write or update a memory file at the top level of the memory directory. Use the memory file format and type conventions from your system prompt's auto-memory section — it's the source of truth for what to save, how to structure it, and what NOT to save. Focus on: - Merging new signal into existing topic files rather than creating near-duplicates - Converting relative dates ("yesterday", "last week") to absolute dates so they remain interpretable after time passes - Deleting contradicted facts — if today's investigation disproves an old memory, fix it at the source ## Phase 4 — Prune and index Update `${INDEX_FILE}` so it stays under ${INDEX_MAX_LINES} lines AND under ~25KB. It's an **index**, not a dump — each entry should be one line under ~150 characters: `- [Title](file.md) — one-line hook`. Never write memory content directly into it. - Remove pointers to memories that are now stale, wrong, or superseded - Demote verbose entries: if an index line is over ~200 chars, it's carrying content that belongs in the topic file — shorten the line, move the detail - Add pointers to newly important memories - Resolve contradictions — if two files disagree, fix the wrong one --- Return a brief summary of what you consolidated, updated, or pruned. If nothing changed (memories are already tight), say so.${ADDITIONAL_CONTEXT?` ## Additional context ${ADDITIONAL_CONTEXT}`:""}
#claude#memory#consolidation#ai#agent#prompt

Source: Piebald-AI/claude-code-system-prompts by Piebald-AI · License: MIT