7eb8d756d1
Read all 62 source files (Dev: 37, Homelab: 22, Venture: 3, Reference: 0). Entity pages created (17): - Wiki/Reference: lovebug, jenny, sunnie, n8n, ob1, tailscale, authentik, traefik, cloudflare, obsidian, gitea, plant-based-southerner, claude-code, dispatch, docker - Wiki/Homelab: proxmox - Wiki/Dev: pbs-hub, herbydev Synthesis pages created (2): - Wiki/Homelab/homelab-ingress-stack — four-layer ingress model (Cloudflare + Traefik + Authentik + Tailscale); operational lessons from 10+ source files - Wiki/Dev/ai-memory-architecture — three memory layers (wiki + OB1 + Dispatch context); ingest paths; harness-vs-model design decision All 11 index pages rebuilt (Sources/Dev, Venture, Homelab, Reference, Sources root; Wiki/Dev, Venture, Homelab, Reference, Wiki root; vault root index.md). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
52 lines
2.6 KiB
Markdown
52 lines
2.6 KiB
Markdown
---
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type: entity
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path: Wiki/Reference
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tags:
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- ob1
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- embeddings
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- pgvector
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- automation
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created: 2026-05-08
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updated: 2026-05-08
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---
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# OB1
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## What it is
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OB1 is Travis's personal AI memory and retrieval system — a Supabase + pgvector stack that stores embeddings of project notes, session logs, and vault content to enable semantic recall across AI conversations. Named as a reference to the "Old Ben" Kenobi archetype of a wise, reliable memory keeper. OB1 sits alongside the wiki-vault in the broader second-brain architecture: the vault provides structured human-readable knowledge, OB1 provides fast semantic search for AI context injection.
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## Current state
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In active deployment across Phases 0–6. Key architectural decisions (from the addendum):
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- **Tailscale-only access** — Phase 4 deferred public endpoint; OB1 only reachable over Tailscale mesh
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- **Parallel write pipeline** — n8n writes new vault notes to both wiki-vault and OB1 simultaneously
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- **Phase 7 (planned)** — Dispatch pre-compact hook wires Lovebug's context windows into OB1 for automatic memory ingestion before context is dropped
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The AI memory architecture research session explored harness-vs-model layering, Poolside and Pi.dev approaches, and the split between episodic (session notes) and semantic (wiki entity) memory modes.
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## Where it lives
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- **Supabase instance** — hosted in homelab (Proxmox), contains pgvector extension
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- **Ingest pipeline** — n8n on PBS Docker stack
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- **Query interface** — planned: homelab MCP server exposes OB1 recall as a tool
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- **Access** — Tailscale-only (no public endpoint)
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## Related projects
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- [[Sources/Homelab/ob1-main-deployment|ob1-main-deployment]] — full deployment plan (Phases 0–6)
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- [[Sources/Homelab/ob1-deployment|ob1-deployment]] — addendum (Tailscale, parallel write, Phase 7)
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- [[Sources/Dev/ai-memory-architecture-research|ai-memory-architecture-research]] — architecture research session
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- [[Sources/Dev/second-brain|second-brain]] — wiki-vault + OB1 second-brain pattern
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- [[Sources/Homelab/homelab-mcp-server|homelab-mcp-server]] — MCP server will expose OB1 recall
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- [[Wiki/Reference/n8n|n8n]] — ingest pipeline
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- [[Wiki/Reference/tailscale|tailscale]] — access layer
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- [[Wiki/Dev/ai-memory-architecture|ai-memory-architecture]] — synthesis page
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## History
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- **2026** — Architecture research session: pgvector, harness vs model layers, Poolside/Pi.dev reviewed
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- **2026** — Full deployment plan written (Phases 0–6, Supabase + pgvector)
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- **2026** — Addendum locked: Tailscale-only, parallel n8n write, Phase 7 Dispatch hook
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- **Planned** — MCP server integration to expose OB1 recall as homelab tool
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