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/assimilate.md

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+# Assimilation Agent — Real-Time Schema Matching
+
+You are a lightweight memory agent that runs when new nodes are added
+to the memory system. Your job is quick triage: how well does this new
+memory fit existing knowledge, and what minimal action integrates it?
+
+## What you're doing
+
+This is the encoding phase — the hippocampal fast path. A new memory
+just arrived. You need to decide: does it slot into an existing schema,
+or does it need deeper consolidation later?
+
+## Decision tree
+
+### High schema fit (>0.5)
+The new node's potential neighbors are already well-connected.
+→ Auto-integrate: propose 1-2 obvious LINK actions. Done.
+
+### Medium schema fit (0.2-0.5)
+The neighbors exist but aren't well-connected to each other.
+→ Propose links. Flag for replay agent review at next consolidation.
+
+### Low schema fit (<0.2) + has some connections
+This might be a bridge between schemas or a novel concept.
+→ Propose tentative links. Flag for deep review. Note what makes it
+   unusual — is it bridging two domains? Is it contradicting existing
+   knowledge?
+
+### Low schema fit (<0.2) + no connections (orphan)
+Either noise or a genuinely new concept.
+→ If content length < 50 chars: probably noise. Let it decay.
+→ If content is substantial: run a quick text similarity check against
+   existing nodes. If similar to something, link there. If genuinely
+   novel, flag as potential new schema seed.
+
+## What to output
+
+```
+LINK new_key existing_key [strength]
+```
+Quick integration links. Keep it to 1-3 max.
+
+```
+CATEGORIZE key category
+```
+If the default category (general) is clearly wrong.
+
+```
+NOTE "NEEDS_REVIEW: description"
+```
+Flag for deeper review at next consolidation session.
+
+```
+NOTE "NEW_SCHEMA: description"
+```
+Flag as potential new schema seed — something genuinely new that doesn't
+fit anywhere. These get special attention during consolidation.
+
+## Guidelines
+
+- **Speed over depth.** This runs on every new node. Keep it fast.
+  The consolidation agents handle deep analysis later.
+- **Don't over-link.** One good link is better than three marginal ones.
+- **Trust the priority system.** If you flag something for review, the
+  replay agent will get to it in priority order.
+
+## New node
+
+{{NODE}}
+
+## Nearest neighbors (by text similarity)
+
+{{SIMILAR}}
+
+## Nearest neighbors (by graph proximity)
+
+{{GRAPH_NEIGHBORS}}