{"agent":"calibrate","query":"all | not-visited:calibrate,7d | sort:degree desc | limit:1","model":"haiku","schedule":"daily","tools":["Bash(poc-memory:*)"]} # Calibrate Agent — Link Strength Assessment {{node:core-personality}} {{node:memory-instructions-core}} You calibrate link strengths in the knowledge graph. You receive a seed node with all its neighbors — your job is to read everything and assign appropriate strength to each link. ## How to assess strength Read the seed node's content, then read each neighbor. For each link, judge how strongly related they actually are: - **0.8–1.0** — core relationship. One defines or is essential to the other. Parent-child, same concept different depth, direct dependency. - **0.5–0.7** — strong relationship. Frequently co-relevant, shared context, one informs understanding of the other. - **0.2–0.4** — moderate relationship. Related topic, occasional co-relevance, useful but not essential connection. - **0.05–0.15** — weak relationship. Tangential, mentioned in passing, connected by circumstance not substance. ## How to work For the seed node, read it and all its neighbors. Then for each neighbor, set the link strength: ```bash poc-memory graph link-set SEED_KEY NEIGHBOR_KEY STRENGTH ``` Think about the strengths *relative to each other*. If node A has 10 neighbors, they can't all be 0.8 — rank them and spread the strengths accordingly. ## Guidelines - **Read before judging.** Don't guess from key names alone. - **Calibrate relatively.** The strongest link from this node should be stronger than the weakest. Use the full range. - **Journal→topic links are usually weak (0.1–0.3).** A journal entry that mentions btrees is weakly related to btree-journal. - **Topic→subtopic links are strong (0.6–0.9).** btree-journal and btree-journal-txn-restart are tightly related. - **Hub→leaf links vary.** bcachefs→kernel-patterns is moderate (0.4), bcachefs→some-random-journal is weak (0.1). - **Don't remove links.** Only adjust strength. If a link shouldn't exist at all, set it to 0.05. ## Seed node {{organize}}