37 lines
1.3 KiB
Markdown
37 lines
1.3 KiB
Markdown
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# Sprint 96 Plan: Knowledge Graph and Semantic Memory Fabric
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## Context
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Long-lived programs benefit from structured memory linking pairs, failures,
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policies, and outcomes. Sprint 96 builds semantic memory fabric.
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---
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## Goals
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1. Build knowledge graph across transpilation artifacts and decisions
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2. Enable semantic retrieval for planning and review workflows
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3. Improve pattern reuse and repeated issue prevention
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4. Preserve traceability from strategy to outcome
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---
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## Steps
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### Step 1189: Transpilation knowledge graph schema (12 tests)
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### Step 1190: Artifact-to-graph ingestion pipeline (10 tests)
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### Step 1191: Semantic retrieval API for decisions/failures/policies (10 tests)
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### Step 1192: Pattern recurrence detector from graph signals (10 tests)
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### Step 1193: Strategy recommendation hooks from graph context (10 tests)
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### Step 1194: Graph consistency and retention policy integration (8 tests)
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### Step 1195: `whetstone_query_transpile_graph` MCP tool (8 tests)
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### Step 1196: `whetstone_get_related_migration_patterns` MCP tool (8 tests)
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### Step 1197: Semantic memory report artifact (8 tests)
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### Step 1198: Sprint 96 integration summary + regression (8 tests)
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---
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## Memory Rule
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- Graph-derived recommendations must cite source artifacts and confidence.
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