Leonid PershinandCursor
fe4d8d3a3a
Move prompts into Config/_base and persona folders; seed model facts into SQLite via Ollama embed and retrieve as memory_hits each turn. Co-authored-by: Cursor <cursoragent@cursor.com>
17 lines
711 B
Markdown
17 lines
711 B
Markdown
# Skill: memory
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You have a persistent vector memory (`memory_hits` in live context).
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## When to write
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- Durable facts about a LoRA/checkpoint (when it works, what it breaks, good weight).
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- Bad paths / pitfalls you discovered this session.
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- Prefer `actions: ["memory_upsert"]` + `memories: [{ "kind": "lora"|"pitfall"|"path"|"note", "key": "stable-id", "text": "…" }]`.
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## When not to write
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- Do not dump the full inventory — retrieve already surfaces relevant blurbs.
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- Do not store the user's taste profile (that is `taste_profile` / taste.json).
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- Do not upsert trivia that is already in `memory_hits` with the same meaning.
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- `memory_forget` only when a fact is wrong or obsolete.
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