poc-memory v0.4.0: graph-structured memory with consolidation pipeline

Rust core:
- Cap'n Proto append-only storage (nodes + relations)
- Graph algorithms: clustering coefficient, community detection,
  schema fit, small-world metrics, interference detection
- BM25 text similarity with Porter stemming
- Spaced repetition replay queue
- Commands: search, init, health, status, graph, categorize,
  link-add, link-impact, decay, consolidate-session, etc.

Python scripts:
- Episodic digest pipeline: daily/weekly/monthly-digest.py
- retroactive-digest.py for backfilling
- consolidation-agents.py: 3 parallel Sonnet agents
- apply-consolidation.py: structured action extraction + apply
- digest-link-parser.py: extract ~400 explicit links from digests
- content-promotion-agent.py: promote episodic obs to semantic files
- bulk-categorize.py: categorize all nodes via single Sonnet call
- consolidation-loop.py: multi-round automated consolidation

Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>

prompts/README.md

@@ -0,0 +1,38 @@
+# Consolidation Agent Prompts
+
+Five Sonnet agents, each mapping to a biological memory consolidation process.
+Run during "sleep" (dream sessions) or on-demand via `poc-memory consolidate-batch`.
+
+## Agent roles
+
+| Agent | Biological analog | Job |
+|-------|------------------|-----|
+| replay | Hippocampal replay + schema assimilation | Review priority nodes, propose integration |
+| linker | Relational binding (hippocampal CA1) | Extract relations from episodes, cross-link |
+| separator | Pattern separation (dentate gyrus) | Resolve interfering memory pairs |
+| transfer | CLS (hippocampal → cortical transfer) | Compress episodes into semantic summaries |
+| health | Synaptic homeostasis (SHY/Tononi) | Audit graph health, flag structural issues |
+
+## Invocation
+
+Each prompt is a template. The harness (`poc-memory consolidate-batch`) fills in
+the data sections with actual node content, graph metrics, and neighbor lists.
+
+## Output format
+
+All agents output structured actions, one per line:
+
+```
+LINK source_key target_key [strength]
+CATEGORIZE key category
+COMPRESS key "one-sentence summary"
+EXTRACT key topic_file.md section_name
+CONFLICT key1 key2 "description"
+DIFFERENTIATE key1 key2 "what makes them distinct"
+MERGE key1 key2 "merged summary"
+DIGEST "title" "content"
+NOTE "observation about the graph or memory system"
+```
+
+The harness parses these and either executes (low-risk: LINK, CATEGORIZE, NOTE)
+or queues for review (high-risk: COMPRESS, EXTRACT, MERGE, DIGEST).