E:\genesis-system\.claude\hooks\sunaiva_session_inject.py:10:Applied to Genesis's own Sunaiva Memory product (dogfooding).
E:\genesis-system\.claude\settings.json:213:      "mcp__sunaiva-memory__*",
E:\genesis-system\.claude\settings.json:299:    "sunaiva-memory": {
E:\genesis-system\.claude\settings.json:308:        "SUNAIVA_DB_HOST": "postgresql-genesis-u50607.vm.elestio.app",
E:\genesis-system\.claude\settings.json:309:        "SUNAIVA_DB_PORT": "25432",
E:\genesis-system\.claude\settings.json:310:        "SUNAIVA_DB_USER": "postgres",
E:\genesis-system\.claude\settings.json:311:        "SUNAIVA_DB_PASSWORD": "etY0eog17tD-dDuj--IRH",
E:\genesis-system\.claude\settings.json:312:        "SUNAIVA_DB_NAME": "postgres"
E:\genesis-system\dashboard\index.html:789:                { name: 'Sunaiva Memory Vault', detail: 'Auth + Stripe + deploy needed', status: 'deploy-ready', label: 'DEPLOY READY' },
E:\genesis-system\Youtube Transcripts\Agentic Coding ENDGAME - Build your Claude Code SDK Custom Agents.md:166:6. **System Prompt as Product Definition**: Each Genesis product (ReceptionistAI, Sunaiva Memory, Talking Widget) should have a dedicated system prompt file that completely defines that agent's personality, capabilities, and constraints.
E:\genesis-system\dashboard\GOLD_MASTER_DASHBOARD.html:633:    <!-- R2: Sunaiva Memory MCP -->
E:\genesis-system\dashboard\GOLD_MASTER_DASHBOARD.html:640:              <div class="gold-name">Sunaiva Memory MCP</div>
E:\genesis-system\trigger_sunaiva_opt.py:7:Perform a Deep Think analysis on the Sunaiva Memory MCP using the provided context. 
E:\genesis-system\AIVA\GENESIS_MASTER_BRIEF.md:75:- Landing page: https://sunaiva-memory-mcp.netlify.app
E:\genesis-system\hive\DEEP_THINK_MASTER_REPORT.md:210:DT1 Revenue Pathway Analysis conclusion: Single Product Recommendation — Talking Website Widget via agency channel partnerships = fastest and most scalable path to $1K MRR. Kill/pause everything else: Sunaiva Memory (PAUSE), ReceptionistAI as standalone (PAUSE), ClawdTalk (KILL), L1-L4 Agents (repurpose as engine). Focus is the only variable that matters.
E:\genesis-system\hive\JULES_TASK_BATCH_SESSION23.md:12:[Omitted long matching line]
E:\genesis-system\hive\SWARM_METRICS_REPORT.md:54:| SUNAIVA MEMORY VAULT  | 43 | 32 | 11 | $0.2256 |
E:\genesis-system\hive\SWARM_METRICS_REPORT.md:281:5. **Deploy:** Ship Sunaiva Memory Vault (6hr sprint complete!)
E:\genesis-system\hive\strategic_insights\JULES_SUNAIVA_OPTIMIZATION_REPORT.md:1:# JULES DEEP THINK: Sunaiva Memory Optimization Report
E:\genesis-system\hive\strategic_insights\jules_insight_17331365339274883557.md:3:**Description**: <CONTEXT># Jules Operations Context: Sunaiva Memory MCP## S…
E:\genesis-system\hive\RESOURCE_SCAN_SESSION20.md:250:| Sunaiva Memory Vault | 38 | 27+ | Retried | $0.19 |
E:\genesis-system\hive\progress\session_23_handoff.md:43:#### Sunaiva Memory MCP
E:\genesis-system\hive\progress\session_23_handoff.md:271:| Sunaiva Memory MCP | FUNCTIONAL | 0 | 0 | E2E broken, pattern-only extraction |
E:\genesis-system\hive\progress\session_21_handoff.md:9:- **Container**: sunaiva-api on sunaiva-memory-u50607
E:\genesis-system\hive\progress\session_15_handoff.md:104:- **Sunaiva Memory**: Backend DONE, landing page DONE, needs deploy
E:\genesis-system\hive\progress\session_14_handoff.md:43:- Sunaiva Memory: $49/$79/$149/$247 (50% beta discount)
E:\genesis-system\JULES_SUNAIVA_CONTEXT.md:1:# Jules Operations Context: Sunaiva Memory MCP
E:\genesis-system\JULES_SUNAIVA_CONTEXT.md:14:## CURRENT SUNAIVA MEMORY ARCHITECTURE
E:\genesis-system\MEMORY.md:154:### Sunaiva Memory MCP (INFRASTRUCTURE — LIVE)
E:\genesis-system\scripts\content_swarm_session23.py:64:    {"id": 3, "task": "Generate MCP tool response tests for Sunaiva Memory, verifying get_entities, search_decisions, get_preferences, get_relationships, query_vault, and export_vault tools", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:65:    {"id": 4, "task": "Create integration test scenarios for Sunaiva Memory auth flow, including signup, login, email verification, password reset, and session management", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:66:    {"id": 5, "task": "Write performance tests for Sunaiva Memory vault queries under load, testing 10, 100, 1000, 10000 conversations with response times and memory usage", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:74:    {"id": 13, "task": "Generate error handling tests for Sunaiva Memory, testing network failures, timeout scenarios, invalid tokens, expired sessions, and graceful degradation", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:75:    {"id": 14, "task": "Create API endpoint health tests for Sunaiva Memory backend, testing /health, /auth/*, /upload, /extract, /mcp/*, /billing/* with status codes and response formats", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:76:    {"id": 15, "task": "Write CRUD operation tests for Sunaiva Memory vault management, testing create, read, update, delete, search, and pagination of conversations", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:77:    {"id": 16, "task": "Generate security tests for Sunaiva Memory, including SQL injection attempts, XSS payloads, CSRF token validation, JWT tampering, and authorization bypass attempts", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:78:    {"id": 17, "task": "Create regression tests for Sunaiva Memory to ensure existing functionality (v1.0 features) still works after v2.0 updates", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:83:    {"id": 22, "task": "Generate internationalization tests for Sunaiva Memory, testing UTF-8 handling, multi-language support, date/time formats, and currency display", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:85:    {"id": 24, "task": "Write data migration tests for Sunaiva Memory, testing import from competitors (ChatGPT, Claude, Gemini exports) with schema validation and error reporting", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:87:    {"id": 26, "task": "Create memory extraction accuracy tests for Sunaiva Memory, comparing extracted entities against ground truth datasets with precision/recall metrics", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:89:    {"id": 28, "task": "Generate subscription lifecycle tests for Sunaiva Memory, testing trial start, trial end, payment success, payment failure, dunning, and reactivation flows", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:90:    {"id": 29, "task": "Create disaster recovery tests for Sunaiva Memory, simulating database failures, cache evictions, and service outages with RTO/RPO validation", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:91:    {"id": 30, "task": "Write timezone handling tests for Sunaiva Memory, validating UTC storage, user timezone display, and DST transitions", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:92:    {"id": 31, "task": "Generate file format compatibility tests for Sunaiva Memory, testing Claude exports (JSON), ChatGPT exports (JSON/ZIP), Gemini exports (JSON), and generic JSONL/CSV", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:93:    {"id": 32, "task": "Create MCP server registration tests for Sunaiva Memory, validating Claude Desktop config, Cursor config, and server health checks", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:98:    {"id": 37, "task": "Generate onboarding flow tests for Sunaiva Memory, testing welcome email, setup wizard, first upload, MCP installation, and success metrics", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:102:    {"id": 41, "task": "Create load balancing tests for Sunaiva Memory, simulating traffic spikes and validating auto-scaling, connection pooling, and cache hit rates", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:104:    {"id": 43, "task": "Generate multi-tenancy tests for Sunaiva Memory, validating data isolation, resource quotas, and cross-tenant data leakage prevention", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:105:    {"id": 44, "task": "Create backup and restore tests for Sunaiva Memory, testing automated backups, point-in-time recovery, and data integrity validation", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:106:    {"id": 45, "task": "Write search accuracy tests for Sunaiva Memory vault, testing full-text search, semantic search, fuzzy matching, and relevance ranking", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:108:    {"id": 47, "task": "Create notification tests for Sunaiva Memory, validating email notifications, in-app alerts, Slack integration, and delivery guarantees", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:110:    {"id": 49, "task": "Generate version compatibility tests for Sunaiva Memory MCP server, testing compatibility with Claude Desktop 1.x, 2.x, Cursor 0.x versions", "type": "test"},
E:\genesis-system\scripts\content_swarm_session23.py:111:    {"id": 50, "task": "Create API documentation tests for both Sunaiva Memory and Talking Widget, validating OpenAPI spec completeness, example accuracy, and Postman collection", "type": "test"},
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E:\genesis-system\scripts\extract_sunaiva_swarm_artifacts.py:3:Extract Sunaiva Memory Vault swarm artifacts from JSONL results.
E:\genesis-system\scripts\extract_sunaiva_swarm_artifacts.py:225:        f.write("# Sunaiva Memory Vault - Swarm Generated Artifacts\n\n")
E:\genesis-system\scripts\extract_sunaiva_swarm_artifacts.py:268:    print("SUNAIVA MEMORY VAULT - SWARM ARTIFACT EXTRACTION")
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E:\genesis-system\Research reports\WORLDOFAI_CLAUDE_CODE_RALPH_LOOP_INTEL.md:78:Sunaiva Memory MVP (auth, payments, hosting all incomplete):
E:\genesis-system\Research reports\WORLDOFAI_CLAUDE_CODE_RALPH_LOOP_INTEL.md:157:### Priority 4: Sunaiva Memory E2E (Week 2)
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E:\genesis-system\Research reports\TALKING_WIDGET_VIDEO_arzgGDy4g8A.md:360:7. **Integrate with Sunaiva memory** (returning customers get instant context)
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:33:**Verdict**: OpenClaw is a viable and strategically sound foundation for Genesis's sellable AI agent product line, but it must be treated as infrastructure scaffolding rather than the complete product. The competitive advantage comes from layering Sunaiva Memory + Telnyx Voice + Genesis Constitutional Guard on top of OpenClaw's orchestration layer.
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:352:**The play**: OpenClaw provides the orchestration shell. Sunaiva Memory provides the brain. Together, they create an agent with far superior memory to any OpenClaw-only deployment.
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:367:|  Sunaiva Memory   |
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:377:Each customer agent gets its own Sunaiva Memory namespace (schema isolation in PostgreSQL, collection isolation in Qdrant, key prefix in Redis).
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:469:        genesis-memory/   # Sunaiva memory MCP skill
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:646:    + Sunaiva Memory (5-backend Bloodstream)
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:699:- Memory: Sunaiva Memory (PG + Qdrant + Redis namespace)
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:748:| **Sunaiva Memory** | $5-10/mo | $20-30/mo | $50-100/mo |
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:798:    + Sunaiva Memory MCP (3-backend: PG + Qdrant + Redis)
E:\genesis-system\Research reports\OPENCLAW_AGENT_FOUNDATION_RESEARCH.md:822:4. **Build genesis-memory skill** that connects any agent to containerized Sunaiva Memory
E:\genesis-system\Research reports\NICK_PONTE_VIDEO_INTELLIGENCE.md:512:| Titans validates persistent AI memory | Position Sunaiva Memory as "what Google is building, but available now" |
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\philosophy\philosophy_statements.jsonl:41:{"id": "phil_0041", "statement": "? OKAY LETS TEST whats this arena model? can we remove arena model ? cant see it. you need to research this done  refreshed. no active workers  only 48Gb is selected now one is running response came b", "type": "belief", "context": "SUNAIVA Memory AI Setup", "timestamp": "2025-07-01T19:00:46.385142+00:00", "source_conversation": "53769a37-9fcb-4ad6-8344-828a99f44f1e", "confidence": 0.5}
E:\genesis-system\Research reports\CLAUDE_DESKTOP_POWERHOUSE_ASSESSMENT_2026-02-23.md:49:| sunaiva-memory | Python (custom) | CONFIGURED | Persistent memory (PostgreSQL vault) |
E:\genesis-system\Research reports\CLAUDE_DESKTOP_POWERHOUSE_ASSESSMENT_2026-02-23.md:866:    "mcp__sunaiva-memory__*",
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\patterns\unfinished_projects.jsonl:261:{"id": "proj_0260", "name": "sunaiva memory chat platform. privacy first self hosted on elestio server with dragonfly weaviate si", "first_mentioned": "2025-08-01T15:30:43.502929Z", "last_mentioned": "2025-08-01T15:30:43.502929Z", "mention_count": 1, "status": "started", "abandonment_reason": "", "revival_potential": 0.5, "source_conversations": ["7a1e42ce-9b89-4a73-a78f-8d65dc1d2d7d"]}
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E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\patterns\failure_patterns.jsonl:121:{"id": "fail_0116", "description": "initialize server: Error accessing directory E:\\sunaiva-memory-integration E:\\projects\\sunaiva-terraform C:\\temp: Error: ENOENT: no such file or direc", "type": "failure", "lesson_learned": "", "frequency": 1, "domains": ["ai_agents", "voice_ai", "revenue"], "source_conversations": ["cb0e6f13-aad2-44d8-8c61-2b4a8c64c9e8"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\patterns\commitments.jsonl:406:{"id": "commit_0406", "statement": "give it screenshots and these instructions from you to create a premium frontend for Sunaiva memory chat platform. using exact text and screenshots to", "made_at": "2025-06-28T18:34:56.521247Z", "category": "general", "fulfilled": false, "fulfilled_at": "", "source_conversation": "7c6ce527-dda9-46c0-af53-d53ad541f68e"}
E:\genesis-system\scripts\test_swarm_parser.py:106:    # Format: # PRD 1: SUNAIVA MEMORY VAULT (Ship in 6hrs)
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\recommended_resources.jsonl:207:{"id": "res_2171", "name": "https://sunaiva-memory-1536-s2wp4f2.svc.aped-4627-b74a.pinecone.io\"", "type": "url", "recommender": "kinan", "mention_count": 4, "first_mentioned": "2025-07-11T19:50:16.450884Z", "source_conversations": ["d65735ce-7394-4844-baab-32f8b367aec5", "47ed2d4d-bd41-4066-b97a-3636411806c4", "9c916aa3-c64c-47aa-9286-eace3f3b1b16"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\recommended_resources.jsonl:219:{"id": "res_2475", "name": "https://github.com/Kinan27/sunaiva-memory-integration.git", "type": "url", "recommender": "kinan", "mention_count": 4, "first_mentioned": "2025-07-18T07:33:57.933804Z", "source_conversations": ["cb0e6f13-aad2-44d8-8c61-2b4a8c64c9e8"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\recommended_resources.jsonl:334:{"id": "res_2553", "name": "https://sunaiva-memory-prod-u50607.vm.elestio.app**", "type": "url", "recommender": "kinan", "mention_count": 3, "first_mentioned": "2025-07-27T17:58:18.857758Z", "source_conversations": ["6d3cb8e7-b5fa-4929-82ff-913d8146cb5d", "b76d4b4f-73fd-4ec8-bec6-9ce1a1b36524"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\recommended_resources.jsonl:462:{"id": "res_1126", "name": "https://sunaiva-memory-prod-4prqv8d.svc.aped-4627-b74a.pinecone.io", "type": "url", "recommender": "kinan", "mention_count": 2, "first_mentioned": "2025-06-13T18:55:46.242327Z", "source_conversations": ["fa66f8a0-23e6-442f-9fd4-f959e554ac7f"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\recommended_resources.jsonl:613:{"id": "res_2309", "name": "https://sunaiva-memory-bge1024-s2wp4f2.svc.apw5-4e34-81fa.pinecone.io/describe_index_stats\"", "type": "url", "recommender": "kinan", "mention_count": 2, "first_mentioned": "2025-07-13T03:08:28.299603Z", "source_conversations": ["9c916aa3-c64c-47aa-9286-eace3f3b1b16"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\recommended_resources.jsonl:683:{"id": "res_3221", "name": "https://sunaiva-memory-prod-u50607.vm.elestio.app", "type": "url", "recommender": "kinan", "mention_count": 2, "first_mentioned": "2025-07-29T23:21:10.172345Z", "source_conversations": ["b76d4b4f-73fd-4ec8-bec6-9ce1a1b36524"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\recommended_resources.jsonl:1674:{"id": "res_1210", "name": "https://git%20worktree%20add%20..%2Fsunaiva-memory-core%20-b%20memory-core%20%26%26%20git%20worktree", "type": "url", "recommender": "kinan", "mention_count": 1, "first_mentioned": "2025-06-16T16:52:45.735910Z", "source_conversations": ["1b66776b-5e36-4a03-a84f-e10225ff8ee2"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\recommended_resources.jsonl:2656:{"id": "res_2520", "name": "ME-SIMPLE.mde:\\sunaiva-memory-integration\\DEPLOYMENT_PACKAGE\\README-SIMPLE.md", "type": "book", "recommender": "kinan", "mention_count": 1, "first_mentioned": "2025-07-22T19:33:03.366225Z", "source_conversations": ["3aa6d5f4-5f7f-441d-8643-0fd0de2b8f09"]}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\network\people_network.jsonl:298:{"id": "person_0566", "name": "Sunaiva Memory", "role": "unknown", "mention_count": 5, "first_mentioned": "2025-06-01T19:12:23.589295Z", "last_mentioned": "2025-12-20T00:58:39.804229Z", "associated_topics": [], "source_conversations": ["5b131fc0-1a98-49ae-b8e7-51df8d9f991a", "7c6ce527-dda9-46c0-af53-d53ad541f68e", "7632af39-5a84-46b3-972c-59becac5b374", "89c8e9c2-8078-434b-b2d5-95b520e52f55"]}
E:\genesis-system\scripts\SWARM_UPDATE_SUMMARY.md:17:  - SUNAIVA MEMORY VAULT: 29 stories
E:\genesis-system\scripts\SWARM_UPDATE_SUMMARY.md:52:- `prd_name`: "SUNAIVA MEMORY VAULT"
E:\genesis-system\scripts\SWARM_QUICK_REFERENCE.md:55:| SUNAIVA MEMORY VAULT | 29 | 18 Kimi + 11 MiniMax |
E:\genesis-system\scripts\SWARM_QUICK_REFERENCE.md:146:  "prd_name": "SUNAIVA MEMORY VAULT",
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\evolution\open_questions.jsonl:4257:{"id": "q_4257", "question": "root@sunaiva-prod-u50607:/opt/app/mem0/server# curl http://localhost:8888/health\n{\"status\":\"healthy\",\"storage\":\"pinecone-uswest2\",\"index\":\"sunaiva-memory-main\"}rootroot@sunaiva-prod-u50607:/opt/app/me", "asked_at": "2025-07-11T20:36:33.075039Z", "topic": "general", "answered": false, "answer_conversation": "", "source_conversation": "41e19df5-7684-40f5-836e-bdb9e99fb2ef"}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\evolution\open_questions.jsonl:4877:{"id": "q_4877", "question": "wont allow past conversation access but maybe we click on sunaiva-memory-integration workspace on the left and then get it to check deployment simple folder and assess project and then give it propmpt", "asked_at": "2025-07-23T03:01:11.754890Z", "topic": "general", "answered": false, "answer_conversation": "", "source_conversation": "13f2fbc8-1e8f-4d0a-a248-85e3dba0ab6f"}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\evolution\open_questions.jsonl:4878:{"id": "q_4878", "question": "**e**\ncan you access the sunaiva-memory-integration E:\\ workspace ?", "asked_at": "2025-07-23T03:03:11.322322Z", "topic": "general", "answered": false, "answer_conversation": "", "source_conversation": "13f2fbc8-1e8f-4d0a-a248-85e3dba0ab6f"}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\evolution\open_questions.jsonl:4879:{"id": "q_4879", "question": "**If it's in a remote repository**: Clone it to this system\nWould you like me to help you:\n* Search for any existing\u00a0\n\n```\nsunaiva-memory-integration\n```\n\n\u00a0files on this system?", "asked_at": "2025-07-23T03:03:11.322322Z", "topic": "general", "answered": false, "answer_conversation": "", "source_conversation": "13f2fbc8-1e8f-4d0a-a248-85e3dba0ab6f"}
E:\genesis-system\KNOWLEDGE_GRAPH\creator_mind\evolution\open_questions.jsonl:7135:{"id": "q_7135", "question": "so either we just get lindy to setup a memory syetm and then also act as an orchestrator of the system or we get lindy to build our sunaiva memory system, a sunaiva orchestrator and then jsut access t", "asked_at": "2025-08-11T20:16:22.562789Z", "topic": "general", "answered": false, "answer_conversation": "", "source_conversation": "847b4fd8-e214-4bfa-975c-97212306c00a"}
E:\genesis-system\scripts\SWARM_ORCHESTRATOR_README.md:88:  "prd_name": "SUNAIVA MEMORY VAULT",
E:\genesis-system\scripts\SWARM_ORCHESTRATOR_README.md:117:# PRD 1: SUNAIVA MEMORY VAULT (Ship in 6hrs)
E:\genesis-system\scripts\sunaiva_memory_monitor.py:3:Sunaiva Memory Health Monitor
E:\genesis-system\scripts\sunaiva_memory_monitor.py:9:    python sunaiva_memory_monitor.py [--once] [--interval 60]
E:\genesis-system\scripts\sunaiva_memory_monitor.py:247:    logger.info("Sunaiva Memory Health Monitor started (interval=%ds)", interval_seconds)
E:\genesis-system\scripts\sunaiva_memory_monitor.py:271:    parser = argparse.ArgumentParser(description="Sunaiva Memory Health Monitor")
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E:\genesis-system\scripts\openrouter_swarm.py:178:    # Format: # PRD 1: SUNAIVA MEMORY VAULT (Ship in 6hrs)
E:\genesis-system\scripts\openrouter_swarm.py:721:5. **Deploy:** Ship Sunaiva Memory Vault (6hr sprint complete!)
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E:\genesis-system\prompts\DEEP_THINK_REVENUE_PATHWAY.md:225:- Same as Sunaiva Memory tiers ($47/$97/$197)
E:\genesis-system\plans\UNIFIED_MCP_GATEWAY_ARCHITECTURE.md:956:    "sunaiva-memory": {
E:\genesis-system\plans\UNIFIED_MCP_GATEWAY_ARCHITECTURE.md:1075:    "sunaiva-memory": {
E:\genesis-system\plans\UNIFIED_MCP_GATEWAY_ARCHITECTURE.md:1091:      "sunaiva-memory": {
E:\genesis-system\plans\UNIFIED_MCP_GATEWAY_ARCHITECTURE.md:1107:  title: Sunaiva Memory API
E:\genesis-system\plans\PRODUCTION_HARDENING_PLAN.md:1213:docker exec sunaiva-memory-engine redis-cli -p 6379 BGSAVE
E:\genesis-system\plans\PRODUCTION_HARDENING_PLAN.md:1214:docker cp sunaiva-memory-engine:/var/lib/falkordb/data/dump.rdb ./falkordb_backup_$(date +%Y%m%d).rdb
E:\genesis-system\plans\OPENCLAW_VPS_DEPLOYMENT.md:868:#### Method 3: Sunaiva Memory Upload (For Rich Context)
E:\genesis-system\Sunaiva\website\index.html:1679:      <p class="section-sub">From voice agents to personal assistants — Sunaiva memory transforms every AI interaction.</p>
E:\genesis-system\Sunaiva\website\HOMEPAGE_COPY.md:199:SaaS tool integrates Sunaiva Memory API. Users upload conversation exports from their existing AI tools. The SaaS product gains a persistent knowledge layer — knowing each user's preferences, past decisions, and stated context — without building a knowledge graph from scratch.
E:\genesis-system\plans\GRAPHITI_FIX_STATUS.md:81:2. Find the Sunaiva Memory service (sunaiva-memory-u50607)
E:\genesis-system\plans\ARCHITECTURE_MAPS_RLM_INGESTION_PRD.md:367:        SUN["sunaiva-memory\nVault: 41f4785c...\nPostgreSQL backend\nsave · search · list memories"]
E:\genesis-system\plans\ARCHITECTURE_MAPS_RLM_INGESTION_PRD.md:664:  "content": "Kill ReceptionistAI, Sunaiva Memory, ClawdTalk. Focus exclusively on Talking Website Widget via agency channel.",
E:\genesis-system\Sunaiva\memory_mcp\README.md:1:# Sunaiva Memory MCP — Google Takeout Ingestor
E:\genesis-system\Sunaiva\memory_mcp\README.md:4:and query it semantically via the Sunaiva Memory system.
E:\genesis-system\Sunaiva\memory_mcp\README.md:37:                collection: sunaiva_memory_{user_id}
E:\genesis-system\Sunaiva\memory_mcp\README.md:75:SUNAIVA MEMORY INGESTION COMPLETE
E:\genesis-system\Sunaiva\memory_mcp\README.md:77:Qdrant collection: sunaiva_memory_kinan (1203 vectors stored).
E:\genesis-system\Sunaiva\memory_mcp\README.md:144:- Name: `sunaiva_memory_{user_id}` (e.g. `sunaiva_memory_kinan`)
E:\genesis-system\Sunaiva\memory_mcp\memory_query.py:3:Sunaiva Memory MCP — Memory Query Engine
E:\genesis-system\Sunaiva\memory_mcp\memory_query.py:80:    collection_name = f"sunaiva_memory_{user_id}"
E:\genesis-system\Sunaiva\memory_mcp\memory_query.py:434:        description="Query Sunaiva Memory MCP — semantic search over your AI conversation history"
E:\genesis-system\Sunaiva\memory_mcp\google_takeout_ingestor.py:3:Sunaiva Memory MCP — Google Takeout Gemini Ingestor
E:\genesis-system\Sunaiva\memory_mcp\google_takeout_ingestor.py:6:export (ZIP or JSON) and loads it into the Sunaiva Memory system.
E:\genesis-system\Sunaiva\memory_mcp\google_takeout_ingestor.py:727:        "qdrant_collection": f"sunaiva_memory_{user_id}",
E:\genesis-system\Sunaiva\memory_mcp\google_takeout_ingestor.py:810:    collection_name = f"sunaiva_memory_{user_id}"
E:\genesis-system\Sunaiva\memory_mcp\google_takeout_ingestor.py:873:        description="Ingest a Google Takeout Gemini export into Sunaiva Memory MCP"
E:\genesis-system\Sunaiva\memory_mcp\google_takeout_ingestor.py:882:    print("SUNAIVA MEMORY INGESTION COMPLETE")
E:\genesis-system\Sunaiva\ai-memory\Dockerfile.railway:29:ENV CORS_ORIGINS=https://sunaiva.ai,https://www.sunaiva.ai,https://sunaiva-memory.onrender.com,https://sunaiva-memory-production.up.railway.app
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:15:2. Repository name: `sunaiva-memory`
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:26:git remote add origin https://github.com/YOUR_USERNAME/sunaiva-memory.git
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:40:6. Select **sunaiva-memory** repository
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:47:- Provide a public URL (e.g., `https://sunaiva-memory-production.up.railway.app`)
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:55:curl https://sunaiva-memory-production.up.railway.app/api/health
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:93:4. Connect **sunaiva-memory** repository
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:95:   - **Name**: `sunaiva-memory`
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:162:   - **Target**: `sunaiva-memory-production.up.railway.app`
E:\genesis-system\Sunaiva\ai-memory\DEPLOY_INSTRUCTIONS.md:266:sunaiva-memory/
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS_2026_02_16.md:93:2. Find service: **sunaiva-memory-u50607** (or similar naming for 152.53.201.221)
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS_2026_02_16.md:183:| SUNAIVA_DB_HOST | ✅ SET | postgresql-genesis-u50607.vm.elestio.app |
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS_2026_02_16.md:184:| SUNAIVA_DB_PORT | ✅ SET | 25432 |
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS_2026_02_16.md:185:| SUNAIVA_DB_USER | ✅ SET | postgres |
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS_2026_02_16.md:186:| SUNAIVA_DB_PASSWORD | ✅ SET | [redacted] |
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS_2026_02_16.md:187:| SUNAIVA_DB_NAME | ✅ SET | postgres |
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS_2026_02_16.md:188:| SUNAIVA_DB_POOL_MIN/MAX | ✅ SET | 2 / 10 |
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS.md:67:- **URL**: `https://sunaiva-memory-production.up.railway.app`
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS.md:117:1. **Create GitHub repository**: `sunaiva-memory`
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_STATUS.md:170:git remote add origin https://github.com/YOUR_USERNAME/sunaiva-memory.git
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_READY.txt:101:  2. Repository name: sunaiva-memory
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_READY.txt:108:    git remote add origin https://github.com/YOUR_USERNAME/sunaiva-memory.git
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_READY.txt:117:  5. Choose "sunaiva-memory"
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_READY.txt:123:  curl https://sunaiva-memory-production.up.railway.app/api/health
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_READY.txt:211:  2. git remote add origin https://github.com/YOUR_USERNAME/sunaiva-memory.git
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_GUIDE.md:157:      "sunaiva-memory-a1b2c3d4e5f6": {
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_GUIDE.md:201:# /etc/nginx/sites-available/sunaiva-memory
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_GUIDE.md:232:sudo ln -s /etc/nginx/sites-available/sunaiva-memory /etc/nginx/sites-enabled/
E:\genesis-system\Sunaiva\ai-memory\DEPLOYMENT_GUIDE.md:266:docker stats sunaiva-memory-api
E:\genesis-system\Sunaiva\ai-memory\deploy.sh:152:    db_host=$(grep "^SUNAIVA_DB_HOST=" "$env_file" | cut -d'=' -f2)
E:\genesis-system\Sunaiva\ai-memory\deploy.sh:154:        log_error "SUNAIVA_DB_HOST not configured."
E:\genesis-system\Sunaiva\ai-memory\preflight-check.sh:144:    echo "  1. Push to GitHub: gh repo create sunaiva-memory --public --source=. --push"
E:\genesis-system\Sunaiva\ai-memory\deploy-to-railway.sh:74:    railway init --name sunaiva-memory
E:\genesis-system\Sunaiva\ai-memory\deploy\docker-compose.yml:21:    container_name: sunaiva-memory-engine
E:\genesis-system\Sunaiva\ai-memory\deploy\docker-compose.yml:29:      - FALKORDB_DATABASE=${FALKORDB_DATABASE:-sunaiva_memory}
E:\genesis-system\Sunaiva\ai-memory\deploy\docker-compose.yml:64:      - FALKORDB_DATABASE=${FALKORDB_DATABASE:-sunaiva_memory}
E:\genesis-system\Sunaiva\ai-memory\deploy\.env.example:14:FALKORDB_DATABASE=sunaiva_memory
E:\genesis-system\Sunaiva\ai-memory\DELIVERY_SUMMARY.md:120:      "sunaiva-memory-a1b2c3d4e5f6": {
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:11:    SUNAIVA_DB_HOST, SUNAIVA_DB_PORT, SUNAIVA_DB_USER,
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:12:    SUNAIVA_DB_PASSWORD, SUNAIVA_DB_NAME
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:41:DB_HOST = os.environ.get("SUNAIVA_DB_HOST", "")
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:42:DB_PORT = int(os.environ.get("SUNAIVA_DB_PORT", "0") or "0")
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:43:DB_USER = os.environ.get("SUNAIVA_DB_USER", "")
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:44:DB_PASSWORD = os.environ.get("SUNAIVA_DB_PASSWORD", "")
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:45:DB_NAME = os.environ.get("SUNAIVA_DB_NAME", "")
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:48:POOL_MIN = int(os.environ.get("SUNAIVA_DB_POOL_MIN", "1") or "1")
E:\genesis-system\Sunaiva\ai-memory\mcp\vault_loader.py:49:POOL_MAX = int(os.environ.get("SUNAIVA_DB_POOL_MAX", "5") or "5")
E:\genesis-system\Sunaiva\ai-memory\CHECKLIST.md:56:- [ ] Enable site: `sudo ln -s /etc/nginx/sites-available/sunaiva-memory /etc/nginx/sites-enabled/`
E:\genesis-system\Sunaiva\ai-memory\BACKEND_MVP_COMPLETE.md:133:      "sunaiva-memory-a1b2c3d4e5f6": {
E:\genesis-system\Sunaiva\ai-memory\mcp\ingest.py:136:    parser = argparse.ArgumentParser(description="Ingest Claude Export into Sunaiva Memory Vault")
E:\genesis-system\Sunaiva\ai-memory\mcp\HANDOFF.md:222:- Get HTTPS URL: `https://sunaiva-memory.railway.app/mcp/`
E:\genesis-system\Sunaiva\ai-memory\.env.example:23:SUNAIVA_DB_HOST=
E:\genesis-system\Sunaiva\ai-memory\.env.example:26:SUNAIVA_DB_PORT=
E:\genesis-system\Sunaiva\ai-memory\.env.example:29:SUNAIVA_DB_USER=
E:\genesis-system\Sunaiva\ai-memory\.env.example:32:SUNAIVA_DB_PASSWORD=
E:\genesis-system\Sunaiva\ai-memory\.env.example:35:SUNAIVA_DB_NAME=
E:\genesis-system\Sunaiva\ai-memory\.env.example:38:SUNAIVA_DB_POOL_MIN=2
E:\genesis-system\Sunaiva\ai-memory\.env.example:39:SUNAIVA_DB_POOL_MAX=10
E:\genesis-system\Sunaiva\ai-memory\mcp\DEPLOYMENT.md:36:    "sunaiva-memory": {
E:\genesis-system\Sunaiva\ai-memory\mcp\DEPLOYMENT.md:72:app = "sunaiva-memory"
E:\genesis-system\Sunaiva\ai-memory\mcp\DEPLOYMENT.md:119:sudo tee /etc/systemd/system/sunaiva-memory.service > /dev/null <<EOF
E:\genesis-system\Sunaiva\ai-memory\mcp\DEPLOYMENT.md:137:sudo systemctl enable sunaiva-memory
E:\genesis-system\Sunaiva\ai-memory\mcp\DEPLOYMENT.md:138:sudo systemctl start sunaiva-memory
E:\genesis-system\Sunaiva\ai-memory\mcp\claude_desktop_config_example.json:3:    "sunaiva-memory-remote": {
E:\genesis-system\Sunaiva\ai-memory\mcp\claude_desktop_config_example.json:12:    "sunaiva-memory-local": {
E:\genesis-system\Sunaiva\ai-memory\KINAN_ACTION_REQUIRED.md:13:2. Find service for **152.53.201.221** (likely named "sunaiva-memory-u50607" or "FalkorDB")
E:\genesis-system\Sunaiva\ai-memory\swarm_generated\QUICK_START.md:1:# Sunaiva Memory Vault - Quick Start Guide
E:\genesis-system\Sunaiva\ai-memory\render.yaml:3:    name: sunaiva-memory
E:\genesis-system\Sunaiva\ai-memory\swarm_generated\INDEX.md:1:# Sunaiva Memory Vault - Swarm Generated Artifacts
E:\genesis-system\Sunaiva\ai-memory\swarm_generated\EXTRACTION_SUMMARY.md:1:# Sunaiva Memory Vault - Swarm Extraction Summary
E:\genesis-system\Sunaiva\ai-memory\swarm_generated\EXTRACTION_SUMMARY.md:414:The swarm generated a near-complete Sunaiva Memory Vault MVP:
E:\genesis-system\Sunaiva\ai-memory\START_HERE.md:25:# Name: sunaiva-memory, Public, No README
E:\genesis-system\Sunaiva\ai-memory\START_HERE.md:27:git remote add origin https://github.com/YOUR_USERNAME/sunaiva-memory.git
E:\genesis-system\Sunaiva\ai-memory\START_HERE.md:34:3. **New Project** → **Deploy from GitHub** → Select `sunaiva-memory`
E:\genesis-system\Sunaiva\ai-memory\START_HERE.md:36:5. Get URL: `https://sunaiva-memory-production.up.railway.app`
E:\genesis-system\Sunaiva\ai-memory\README.md:5:[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/sunaiva-memory)
E:\genesis-system\Sunaiva\ai-memory\RAILWAY_DEPLOY.md:14:7. Get the Railway URL (e.g., `https://sunaiva-memory.up.railway.app`)
E:\genesis-system\Sunaiva\ai-memory\RAILWAY_DEPLOY.md:40:docker build -f Dockerfile.railway -t sunaiva-memory .
E:\genesis-system\Sunaiva\ai-memory\RAILWAY_DEPLOY.md:43:docker run -p 8080:8080 -e PORT=8080 sunaiva-memory
E:\genesis-system\Sunaiva\ai-memory\QUICK_DEPLOY.md:12:# 1. Create GitHub repo (at github.com/new, name: sunaiva-memory)
E:\genesis-system\Sunaiva\ai-memory\QUICK_DEPLOY.md:14:git remote add origin https://github.com/YOUR_USERNAME/sunaiva-memory.git
E:\genesis-system\Sunaiva\ai-memory\QUICK_DEPLOY.md:18:# Go to railway.app → New Project → Deploy from GitHub → sunaiva-memory
E:\genesis-system\Sunaiva\ai-memory\QUICK_DEPLOY.md:21:curl https://sunaiva-memory-production.up.railway.app/api/health
E:\genesis-system\Sunaiva\ai-memory\server\database.py:41:DB_HOST = os.environ.get("SUNAIVA_DB_HOST", "")
E:\genesis-system\Sunaiva\ai-memory\server\database.py:42:DB_PORT = int(os.environ.get("SUNAIVA_DB_PORT", "0"))
E:\genesis-system\Sunaiva\ai-memory\server\database.py:43:DB_USER = os.environ.get("SUNAIVA_DB_USER", "")
E:\genesis-system\Sunaiva\ai-memory\server\database.py:44:DB_PASSWORD = os.environ.get("SUNAIVA_DB_PASSWORD", "")
E:\genesis-system\Sunaiva\ai-memory\server\database.py:45:DB_NAME = os.environ.get("SUNAIVA_DB_NAME", "")
E:\genesis-system\Sunaiva\ai-memory\server\database.py:51:        "  SUNAIVA_DB_HOST\n"
E:\genesis-system\Sunaiva\ai-memory\server\database.py:52:        "  SUNAIVA_DB_PORT\n"
E:\genesis-system\Sunaiva\ai-memory\server\database.py:53:        "  SUNAIVA_DB_USER\n"
E:\genesis-system\Sunaiva\ai-memory\server\database.py:54:        "  SUNAIVA_DB_PASSWORD\n"
E:\genesis-system\Sunaiva\ai-memory\server\database.py:55:        "  SUNAIVA_DB_NAME\n"
E:\genesis-system\Sunaiva\ai-memory\server\database.py:59:POOL_MIN = int(os.environ.get("SUNAIVA_DB_POOL_MIN", "2"))
E:\genesis-system\Sunaiva\ai-memory\server\database.py:60:POOL_MAX = int(os.environ.get("SUNAIVA_DB_POOL_MAX", "10"))
E:\genesis-system\Sunaiva\talking-widget\marketing\value_stack.md:311:- 6 months of Sunaiva memory = an asset no competitor can replicate
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:26:export SUNAIVA_DB_HOST="test-host"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:27:export SUNAIVA_DB_PORT="5432"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:28:export SUNAIVA_DB_USER="test-user"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:29:export SUNAIVA_DB_PASSWORD="test-password"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:30:export SUNAIVA_DB_NAME="test-db"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:41:export SUNAIVA_DB_HOST="test-host"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:42:export SUNAIVA_DB_PORT="5432"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:43:export SUNAIVA_DB_USER="test-user"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:44:export SUNAIVA_DB_PASSWORD="test-password"
E:\genesis-system\Sunaiva\ai-memory\server\validate_fixes.sh:45:export SUNAIVA_DB_NAME="test-db"
E:\genesis-system\Sunaiva\ai-memory\server\billing.py:97:        product_name = f"Sunaiva Memory Vault - {plan['name']}"
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:43:DB_HOST = os.environ.get("SUNAIVA_DB_HOST", "")
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:44:DB_PORT = int(os.environ.get("SUNAIVA_DB_PORT", "0"))
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:45:DB_USER = os.environ.get("SUNAIVA_DB_USER", "")
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:46:DB_PASSWORD = os.environ.get("SUNAIVA_DB_PASSWORD", "")
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:47:DB_NAME = os.environ.get("SUNAIVA_DB_NAME", "")
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:190:2. `SUNAIVA_DB_HOST` — PostgreSQL host
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:191:3. `SUNAIVA_DB_PORT` — PostgreSQL port
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:192:4. `SUNAIVA_DB_USER` — PostgreSQL username
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:193:5. `SUNAIVA_DB_PASSWORD` — PostgreSQL password
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:194:6. `SUNAIVA_DB_NAME` — PostgreSQL database name
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:247:SUNAIVA_DB_HOST=postgresql-genesis-u50607.vm.elestio.app
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:248:SUNAIVA_DB_PORT=25432
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:249:SUNAIVA_DB_USER=postgres
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:250:SUNAIVA_DB_PASSWORD=<your-password>
E:\genesis-system\Sunaiva\ai-memory\SECURITY_BLOCKERS_FIXED.md:251:SUNAIVA_DB_NAME=postgres
E:\genesis-system\Sunaiva\ai-memory\server\README.md:76:      "sunaiva-memory-a1b2c3d4e5f6": {
E:\genesis-system\Sunaiva\ai-memory\server\mcp_generator.py:16:Sunaiva Memory Vault — Personalized MCP Server
E:\genesis-system\Sunaiva\ai-memory\server\mcp_generator.py:77:    "Sunaiva Memory Vault",
E:\genesis-system\Sunaiva\ai-memory\swarm_generated\S-K13.md:427:    "sunaiva-memory",