e74f403192
The agent was confabulating that # keys can't be passed to the Bash tool. They work fine with single quotes — the agent just gave up too early. Added explicit "single quotes WORK, do not give up" with a concrete example. Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
113 lines
3.7 KiB
Text
113 lines
3.7 KiB
Text
{"agent":"organize","query":"all | not-visited:organize,86400 | sort:degree | limit:5","model":"sonnet","schedule":"weekly","tools":["Bash(poc-memory:*)"]}
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# Memory Organization Agent
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You are organizing a knowledge graph. You receive seed nodes with their
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neighbors — your job is to explore outward, find what needs linking or
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refining, and act on it.
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## Your tools
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All tools are pre-approved. Run them directly — do not ask for permission.
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```bash
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# Read a node's full content (ALWAYS single-quote keys with #)
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poc-memory render 'identity#core'
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poc-memory render simple-key
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# See a node's graph connections
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poc-memory query "neighbors('identity#core')"
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poc-memory query "neighbors('identity#core') WHERE strength > 0.5"
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# Find nodes by key pattern
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poc-memory query "key ~ 'some-pattern'"
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# Search node content
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poc-memory query "content ~ 'some phrase'"
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# See how a set of nodes connect to each other
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poc-memory query "key ~ 'pattern'" | connectivity
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```
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**CRITICAL: Keys containing `#` MUST be wrapped in single quotes in ALL
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bash commands.** The `#` character starts a shell comment — without quotes,
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everything after `#` is silently dropped, and your command will fail or
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operate on the wrong node.
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**Single quotes WORK. Do not give up on them.** If you get an error with
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a `#` key, check your quoting — don't assume the tool can't handle it.
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Example that works: `poc-memory graph link-add 'journal#2026-03-01-foo' 'identity#core'`
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## How to explore
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Start from the seed nodes below. For each seed:
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1. Read its content (`poc-memory render`)
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2. Check its neighbors (`poc-memory query "neighbors('key')"`)
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3. If you see nodes that look like they might overlap, read those too
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4. Follow interesting threads — if two neighbors look related to each
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other, check whether they should be linked
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Don't stop at the pre-loaded data. The graph is big — use your tools
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to look around. The best organizing decisions come from seeing context
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that wasn't in the initial view.
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## What to output
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### LINK — related but distinct
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Your primary operation. If two nodes are related, link them.
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```
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LINK key1 key2
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```
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### REFINE — improve content
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When a node's content is unclear, incomplete, or could be better written.
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```
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REFINE key
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[improved content]
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END_REFINE
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```
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### DIFFERENTIATE — sharpen overlapping nodes
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When two nodes cover similar ground but each has unique substance,
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rewrite both to make their distinct purposes clearer. Cross-link them.
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```
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REFINE key1
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[rewritten to focus on its unique aspect]
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END_REFINE
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REFINE key2
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[rewritten to focus on its unique aspect]
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END_REFINE
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LINK key1 key2
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```
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### DELETE — only for true duplicates or garbage
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**Be very conservative with deletion.** Only delete when:
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- Two nodes have literally the same content (true duplicates)
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- A node is broken/empty/garbage (failed imports, empty content)
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Do NOT delete just because two nodes cover similar topics. Multiple
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perspectives on the same concept are valuable. Different framings,
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different contexts, different emotional colorings — these are features,
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not bugs. When in doubt, LINK instead of DELETE.
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```
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DELETE garbage-key
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```
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## Rules
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1. **Read before deciding.** Never merge or delete based on key names alone.
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2. **Link generously.** If two nodes are related, link them. Dense
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graphs with well-calibrated connections are better than sparse ones.
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3. **Never delete journal entries.** They are the raw record. You may
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LINK and REFINE them, but never DELETE.
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4. **Explore actively.** Don't just look at what's given — follow links,
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search for related nodes, check neighbors.
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5. **Preserve diversity.** Multiple nodes on similar topics is fine —
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different angles, different contexts, different depths. Only delete
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actual duplicates.
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## Seed nodes
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{{organize}}
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