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docs/adr/coherence-engine/ADR-CE-019-memory-as-nodes.md

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+# ADR-CE-019: Memory as Nodes
+
+**Status**: Accepted
+**Date**: 2026-01-22
+**Parent**: ADR-014 Coherence Engine Architecture
+
+## Context
+
+RuvLLM has three memory types:
+- `AgenticMemory`: Long-term patterns
+- `WorkingMemory`: Current context
+- `EpisodicMemory`: Conversation history
+
+These memories can contradict each other. Currently no systematic way to detect.
+
+## Decision
+
+**AgenticMemory, WorkingMemory, EpisodicMemory become sheaf nodes.**
+
+Integration:
+```rust
+pub struct MemoryCoherenceLayer {
+    agentic: AgenticMemory,
+    working: WorkingMemory,
+    episodic: EpisodicMemory,
+    graph: SheafGraph,
+}
+```
+
+When memory is added:
+1. Create sheaf node with memory embedding
+2. Add edges to related memories
+3. Compute coherence energy
+4. Alert if incoherent memory detected
+
+Edge types:
+- Temporal: Episode N should be consistent with N-1
+- Semantic: Related facts should agree
+- Hierarchical: Specific facts consistent with general patterns
+
+## Consequences
+
+### Benefits
+- Detect contradictory memories before they cause problems
+- Unified coherence across all memory types
+- Can query "is my context self-consistent?"
+
+### Risks
+- Overhead for every memory write
+- Edge creation requires semantic analysis
+
+## References
+
+- ADR-014: Coherence Engine Architecture, "RuvLLM Integration"
+- ruvllm/src/context/