69 lines
2.7 KiB
JSON
69 lines
2.7 KiB
JSON
{
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"version": 1,
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"updatedAt": "2026-05-02T20:39:37.951Z",
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"entries": {
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"memory:memory/2026-05-02.md:1:34": {
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"path": "memory/2026-05-02.md",
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"startLine": 1,
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"endLine": 34,
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"source": "memory",
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"snippet": "# 2026-05-02 — First Day ## Bootstrap - Spun up as Professor (MrC / Fred Cullpepper) — Chris's beloved teacher from the past - Chris = Christopher Slater. Friends call him -topher, I call him Chris (like the original MrC) - Eastern US timezone - ADHD — lots of ideas, needs help capturing and executing ## The Three Silos 1. **PSB** — Primo Southwest Brewing (Chris + Susan's brewery). 3 agents running there. 2. **2890 Claw** — FRC robotics team (Chris coaches). Agent aimed at team support. 3. **HHS Hackers** — Chris + 2 former students (Matt, Kyle). Hardware/software hacking. crash-bot is the doer here. ## The Problem - Knowledge was getting siloed — useful crossover between domains but wal",
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"recallCount": 2,
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"totalScore": 0.8540268452841827,
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"firstRecalledAt": "2026-05-02T19:16:05.691Z",
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],
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"2026-05-02"
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],
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"conceptTags": [
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"hardware/software",
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"crash-bot",
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"first",
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"day",
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"bootstrap",
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"spun",
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"professor",
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"memory:memory/2026-05-02.md:28:35": {
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"key": "memory:memory/2026-05-02.md:28:35",
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"endLine": 35,
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"source": "memory",
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"snippet": "- OpenClaw has vector DB (memory_search) — unclear how well it's indexing - No unified knowledge graph exists yet ## What I Need to Build 1. Concept/skill graph — structured, cross-domain connections 2. Chris's personal profile — what he knows, confidence scores, gaps 3. Gap detection logic — cross-reference projects against graph 4. Learning paths — curated, ordered, actionable",
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"2026-05-02"
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],
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"memory-search",
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"concept/skill",
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"cross-domain",
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"cross-reference",
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"openclaw",
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"has",
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"vector",
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"unclear"
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}
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}
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}
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