chore: format tracked sf migrating projections
This commit is contained in:
Mikael Hugo
parent
f2db20b4d6
commit
a0eee1de72
6 changed files with 959 additions and 995 deletions
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@ -1,102 +1,96 @@
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{
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"schemaVersion": 1,
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"origin": "db-projection",
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"generatedAt": "2026-05-06T21:03:18.498Z",
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"sourceDbPath": "/home/mhugo/code/singularity-forge/.sf/sf.db",
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"milestone": {
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"id": "M001-6377a4",
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"title": "Consolidate Memory Systems into Unified node:sqlite Store",
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"status": "active",
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"vision": "Replace the three fragmented memory systems (KNOWLEDGE.md, memory-store.js/sf.db, and memory extension/sql.js) with a single unified memory store backed by node:sqlite. All memory ingestion, querying, and prompt injection flows through one canonical database table with semantic search, confidence ranking, and automatic maintenance.",
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"dependsOn": [],
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"successCriteria": [
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"A single `memories` table in `sf.db` stores all project memory with categories, confidence, hit_count, and embeddings",
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"Session transcript extraction pipeline writes directly to `sf.db` instead of separate `agent.db`",
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"KNOWLEDGE.md is retired as a live system; existing entries are optionally migrated",
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"Memory query returns ranked results via `getRelevantMemoriesRanked(query, limit)` using node:sqlite",
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"System prompt injection uses the unified memory store, not multiple competing sources",
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"All better-sqlite3 and sql.js dependencies for memory are removed"
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],
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"definitionOfDone": [
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"All three legacy memory systems are removed or deprecated",
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"Unified memory store passes all new tests",
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"Migration script can import existing KNOWLEDGE.md and old agent.db data",
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"Documentation updated to describe the single memory system",
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"No references to better-sqlite3 or sql.js in memory-related code"
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],
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"requirementCoverage": "Covers: unified memory storage, semantic search, session-based learning. Partially covers: cross-session context persistence. Leaves for later: multi-project memory sharing, cloud-synced memory.",
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"boundaryMapMarkdown": "### S01 → S02\n\nProduces:\n- Unified `memories` table schema in `sf.db`\n- `MemoryStore` class with CRUD, query, and ranking API\n- `formatMemoriesForPrompt()` for system prompt injection\n\nConsumes:\n- Existing `sf-db.js` adapter and schema initialization\n\n### S02 → S03\n\nProduces:\n- Session transcript scanner and LLM extraction pipeline\n- Direct write path to `sf.db` memories table\n- `/memory` command reading from unified store\n\nConsumes:\n- `MemoryStore` API from S01\n- `completeSimple` LLM call from pi-ai\n\n### S03 → S04\n\nProduces:\n- KNOWLEDGE.md importer\n- Legacy agent.db migration script\n- Deprecation warnings for old memory paths\n\nConsumes:\n- `MemoryStore` API from S01\n- Existing KNOWLEDGE.md and agent.db files"
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},
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"slices": [
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{
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"id": "S01",
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"title": "Unified Memory Schema and Core API",
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"status": "pending",
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"risk": "high",
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"depends": [],
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"demo": "A test creates a memory, queries it by relevance, and formats it for prompt injection — all via node:sqlite",
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"goal": "Create the canonical `memories` table in `sf.db` and a `MemoryStore` class that replaces memory-store.js with a node:sqlite implementation",
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"successCriteria": "- `sf.db` has a `memories` table with: id, category, content, confidence, hit_count, source, session_id, source_unit_type, source_unit_id, created_at, updated_at, superseded_by\n- `MemoryStore` class exposes: createMemory, updateMemory, reinforceMemory, supersedeMemory, getActiveMemoriesRanked, getRelevantMemoriesRanked, formatMemoriesForPrompt\n- All methods gracefully degrade when DB is unavailable\n- Unit tests cover CRUD, ranking, source filtering, and embedding fallback",
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"proofLevel": "contract",
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"integrationClosure": "Produces the MemoryStore API that all downstream slices consume. No external wiring yet.",
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"observabilityImpact": "No runtime signals added yet; tests verify table schema and query correctness.",
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"isSketch": false,
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"sketchScope": "",
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"sequence": 1
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},
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{
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"id": "S02",
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"title": "Session Transcript Extraction Pipeline",
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"status": "pending",
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"risk": "medium",
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"depends": [
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"S01"
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],
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"demo": "After running a session, the pipeline extracts memories and stores them in sf.db; `/memory view` shows the extracted knowledge",
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"goal": "Port the two-phase extraction pipeline from the memory extension to write directly into the unified sf.db store instead of separate agent.db",
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"successCriteria": "- Session .jsonl files are scanned and filtered for the current cwd\n- Phase 1: LLM extracts durable knowledge from transcripts, writes to sf.db memories table with source='extracted'\n- Phase 2: Consolidation deduplicates and ranks memories\n- /memory command reads from unified store\n- Pipeline runs fire-and-forget on session start without blocking dispatch\n- Rate limiting prevents store bloat (max 10 memories per session)",
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"proofLevel": "integration",
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"integrationClosure": "Wires the extraction pipeline into the session lifecycle and replaces the old memory extension storage path.",
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"observabilityImpact": "Pipeline logs extraction stats (processed, errors) to the console. Memory store tracks hit_count for reinforcement.",
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"isSketch": false,
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"sketchScope": "",
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"sequence": 2
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},
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{
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"id": "S03",
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"title": "Migration and Legacy Deprecation",
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"status": "pending",
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"risk": "low",
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"depends": [
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"S02"
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],
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"demo": "Running a migration command imports existing KNOWLEDGE.md and agent.db memories into sf.db; old files are left as read-only backups",
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"goal": "Provide a one-time migration path from KNOWLEDGE.md and the old agent.db into the unified store, then deprecate the legacy systems",
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"successCriteria": "- Migration script can import KNOWLEDGE.md entries as memories with source='migrated'\n- Migration script can import agent.db stage1_outputs as memories with source='extracted'\n- Dry-run mode reports counts without modifying database\n- sf.db is automatically backed up before migration\n- knowledge-compounding.js and knowledge-injector.js are removed or no-op'd\n- Memory extension uses MemoryStore instead of sql.js\n- CHANGELOG documents the consolidation and deprecation",
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"proofLevel": "contract",
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"integrationClosure": "Cleans up legacy code paths and provides a safe migration for existing users.",
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"observabilityImpact": "Migration script reports counts of imported records per source. Deprecation warnings logged for old API usage.",
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"isSketch": false,
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"sketchScope": "",
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"sequence": 3
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},
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{
|
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"id": "S04",
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"title": "System Prompt Integration and Cleanup",
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"status": "pending",
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"risk": "medium",
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"depends": [
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"S03"
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],
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"demo": "Starting a new session injects relevant ranked memories from sf.db into the system prompt; no references to old memory systems remain in the codebase",
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"goal": "Replace all system prompt injection paths to use the unified memory store, remove dead code, and verify end-to-end",
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"successCriteria": "Not provided.",
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"proofLevel": "Not provided.",
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"integrationClosure": "Not provided.",
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"observabilityImpact": "Not provided.",
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"isSketch": false,
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"sketchScope": "",
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"sequence": 4
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}
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]
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"schemaVersion": 1,
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"origin": "db-projection",
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"generatedAt": "2026-05-06T21:03:18.498Z",
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"sourceDbPath": "/home/mhugo/code/singularity-forge/.sf/sf.db",
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"milestone": {
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"id": "M001-6377a4",
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"title": "Consolidate Memory Systems into Unified node:sqlite Store",
|
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"status": "active",
|
||||
"vision": "Replace the three fragmented memory systems (KNOWLEDGE.md, memory-store.js/sf.db, and memory extension/sql.js) with a single unified memory store backed by node:sqlite. All memory ingestion, querying, and prompt injection flows through one canonical database table with semantic search, confidence ranking, and automatic maintenance.",
|
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"dependsOn": [],
|
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"successCriteria": [
|
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"A single `memories` table in `sf.db` stores all project memory with categories, confidence, hit_count, and embeddings",
|
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"Session transcript extraction pipeline writes directly to `sf.db` instead of separate `agent.db`",
|
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"KNOWLEDGE.md is retired as a live system; existing entries are optionally migrated",
|
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"Memory query returns ranked results via `getRelevantMemoriesRanked(query, limit)` using node:sqlite",
|
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"System prompt injection uses the unified memory store, not multiple competing sources",
|
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"All better-sqlite3 and sql.js dependencies for memory are removed"
|
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],
|
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"definitionOfDone": [
|
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"All three legacy memory systems are removed or deprecated",
|
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"Unified memory store passes all new tests",
|
||||
"Migration script can import existing KNOWLEDGE.md and old agent.db data",
|
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"Documentation updated to describe the single memory system",
|
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"No references to better-sqlite3 or sql.js in memory-related code"
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],
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"requirementCoverage": "Covers: unified memory storage, semantic search, session-based learning. Partially covers: cross-session context persistence. Leaves for later: multi-project memory sharing, cloud-synced memory.",
|
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"boundaryMapMarkdown": "### S01 → S02\n\nProduces:\n- Unified `memories` table schema in `sf.db`\n- `MemoryStore` class with CRUD, query, and ranking API\n- `formatMemoriesForPrompt()` for system prompt injection\n\nConsumes:\n- Existing `sf-db.js` adapter and schema initialization\n\n### S02 → S03\n\nProduces:\n- Session transcript scanner and LLM extraction pipeline\n- Direct write path to `sf.db` memories table\n- `/memory` command reading from unified store\n\nConsumes:\n- `MemoryStore` API from S01\n- `completeSimple` LLM call from pi-ai\n\n### S03 → S04\n\nProduces:\n- KNOWLEDGE.md importer\n- Legacy agent.db migration script\n- Deprecation warnings for old memory paths\n\nConsumes:\n- `MemoryStore` API from S01\n- Existing KNOWLEDGE.md and agent.db files"
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},
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"slices": [
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{
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"id": "S01",
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"title": "Unified Memory Schema and Core API",
|
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"status": "pending",
|
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"risk": "high",
|
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"depends": [],
|
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"demo": "A test creates a memory, queries it by relevance, and formats it for prompt injection — all via node:sqlite",
|
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"goal": "Create the canonical `memories` table in `sf.db` and a `MemoryStore` class that replaces memory-store.js with a node:sqlite implementation",
|
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"successCriteria": "- `sf.db` has a `memories` table with: id, category, content, confidence, hit_count, source, session_id, source_unit_type, source_unit_id, created_at, updated_at, superseded_by\n- `MemoryStore` class exposes: createMemory, updateMemory, reinforceMemory, supersedeMemory, getActiveMemoriesRanked, getRelevantMemoriesRanked, formatMemoriesForPrompt\n- All methods gracefully degrade when DB is unavailable\n- Unit tests cover CRUD, ranking, source filtering, and embedding fallback",
|
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"proofLevel": "contract",
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"integrationClosure": "Produces the MemoryStore API that all downstream slices consume. No external wiring yet.",
|
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"observabilityImpact": "No runtime signals added yet; tests verify table schema and query correctness.",
|
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"isSketch": false,
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"sketchScope": "",
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"sequence": 1
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},
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{
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"id": "S02",
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"title": "Session Transcript Extraction Pipeline",
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"status": "pending",
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"risk": "medium",
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"depends": ["S01"],
|
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"demo": "After running a session, the pipeline extracts memories and stores them in sf.db; `/memory view` shows the extracted knowledge",
|
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"goal": "Port the two-phase extraction pipeline from the memory extension to write directly into the unified sf.db store instead of separate agent.db",
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"successCriteria": "- Session .jsonl files are scanned and filtered for the current cwd\n- Phase 1: LLM extracts durable knowledge from transcripts, writes to sf.db memories table with source='extracted'\n- Phase 2: Consolidation deduplicates and ranks memories\n- /memory command reads from unified store\n- Pipeline runs fire-and-forget on session start without blocking dispatch\n- Rate limiting prevents store bloat (max 10 memories per session)",
|
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"proofLevel": "integration",
|
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"integrationClosure": "Wires the extraction pipeline into the session lifecycle and replaces the old memory extension storage path.",
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"observabilityImpact": "Pipeline logs extraction stats (processed, errors) to the console. Memory store tracks hit_count for reinforcement.",
|
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"isSketch": false,
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"sketchScope": "",
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"sequence": 2
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},
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{
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"id": "S03",
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"title": "Migration and Legacy Deprecation",
|
||||
"status": "pending",
|
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"risk": "low",
|
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"depends": ["S02"],
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"demo": "Running a migration command imports existing KNOWLEDGE.md and agent.db memories into sf.db; old files are left as read-only backups",
|
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"goal": "Provide a one-time migration path from KNOWLEDGE.md and the old agent.db into the unified store, then deprecate the legacy systems",
|
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"successCriteria": "- Migration script can import KNOWLEDGE.md entries as memories with source='migrated'\n- Migration script can import agent.db stage1_outputs as memories with source='extracted'\n- Dry-run mode reports counts without modifying database\n- sf.db is automatically backed up before migration\n- knowledge-compounding.js and knowledge-injector.js are removed or no-op'd\n- Memory extension uses MemoryStore instead of sql.js\n- CHANGELOG documents the consolidation and deprecation",
|
||||
"proofLevel": "contract",
|
||||
"integrationClosure": "Cleans up legacy code paths and provides a safe migration for existing users.",
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"observabilityImpact": "Migration script reports counts of imported records per source. Deprecation warnings logged for old API usage.",
|
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"isSketch": false,
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"sketchScope": "",
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"sequence": 3
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},
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{
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"id": "S04",
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"title": "System Prompt Integration and Cleanup",
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"status": "pending",
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"risk": "medium",
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"depends": ["S03"],
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"demo": "Starting a new session injects relevant ranked memories from sf.db into the system prompt; no references to old memory systems remain in the codebase",
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"goal": "Replace all system prompt injection paths to use the unified memory store, remove dead code, and verify end-to-end",
|
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"successCriteria": "Not provided.",
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"proofLevel": "Not provided.",
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"integrationClosure": "Not provided.",
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"observabilityImpact": "Not provided.",
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"isSketch": false,
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"sketchScope": "",
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"sequence": 4
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}
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]
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}
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@ -1,28 +1,28 @@
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{
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"schemaVersion": 3,
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"status": "warming",
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"startedAt": "2026-05-06T21:03:03.705Z",
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"command": "/nix/store/vzx1mi9c0xfadmsm9dhd83d005cb1qs9-coreutils-9.8/bin/timeout",
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"cwd": "/home/mhugo/code/singularity-forge",
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"args": [
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"--kill-after=10",
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"600",
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"/home/mhugo/.cargo/bin/sift",
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"search",
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"--json",
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"--strategy",
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"page-index-hybrid",
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"--limit",
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"1",
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"--retriever-timeout-ms",
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"30000",
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".",
|
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"repo architecture source tests entrypoints configuration"
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],
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"scope": ".",
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"siftBinary": "/home/mhugo/.cargo/bin/sift",
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"hardTimeoutSec": 600,
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"searchCache": "/home/mhugo/code/singularity-forge/.sf/runtime/sift/search-cache",
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"tmpDir": "/home/mhugo/code/singularity-forge/.sf/runtime/sift/tmp",
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"pid": 602029
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"schemaVersion": 3,
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"status": "warming",
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"startedAt": "2026-05-06T21:03:03.705Z",
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"command": "/nix/store/vzx1mi9c0xfadmsm9dhd83d005cb1qs9-coreutils-9.8/bin/timeout",
|
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"cwd": "/home/mhugo/code/singularity-forge",
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"args": [
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"--kill-after=10",
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"600",
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"/home/mhugo/.cargo/bin/sift",
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"search",
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"--json",
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"--strategy",
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"page-index-hybrid",
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"--limit",
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"1",
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"--retriever-timeout-ms",
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"30000",
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".",
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"repo architecture source tests entrypoints configuration"
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],
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"scope": ".",
|
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"siftBinary": "/home/mhugo/.cargo/bin/sift",
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"hardTimeoutSec": 600,
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"searchCache": "/home/mhugo/code/singularity-forge/.sf/runtime/sift/search-cache",
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"tmpDir": "/home/mhugo/code/singularity-forge/.sf/runtime/sift/tmp",
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"pid": 602029
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}
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|
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@ -1,19 +1,19 @@
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{
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}
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@ -1,27 +1,27 @@
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@ -1,181 +1,181 @@
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{
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"applied": [
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{
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"path": "src/AGENTS.md",
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"template": "src/AGENTS.md",
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"version": "2.75.3",
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"appliedAt": "2026-05-06T19:53:05.336Z",
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|
||||
"appliedAt": "2026-05-06T19:53:05.336Z",
|
||||
"stateAtApply": "pending",
|
||||
"contentHash": "sha256:56b4f7d20d49e4558ac5aea5e967cf3475ef98d68dfa8985ba42b3e2b0d72e25"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
|
|||
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Add table
Reference in a new issue