[Docs] OKF (Open Knowledge Format) study; improvements #96-#98 - #10
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Study of GoogleCloudPlatform/knowledge-catalog okf/ (spec v0.1 draft): - docs/influence/okf.md — full analysis (format core, augmentation guards, tool-enforced crawl budgets, four-gate reference mint test) - docs/improvements.md — new dated section with three High Priority items: #96 OKF export target, #97 corrective re-prompt errors + loss-refusing store_extraction guards, #98 four-gate reference mint test in the SessionStart prompt (renumbered from #76-#78 after the 2026-06-30/07-09 re-study cycles consumed #76-#95 on main)
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Summary
Adds a
/study-repoanalysis of Google Cloud's Open Knowledge Format (spec v0.1 draft) — a vendor-neutral spec for knowledge as markdown files with YAML frontmatter in directory bundles.Headline finding: OKF and ClaudeMemory are complementary, not competing. OKF specifies an interchange surface with no engine (no truth maintenance, no queryable provenance, no ranked retrieval); ClaudeMemory is an engine whose only interchange surface is one generated monolith. OKF is what our publish layer could speak — and must never be our store of record.
Changes
docs/influence/okf.md— full analysis: spec structure, permissive consumption model, bottom-up index regeneration, augmentation guard (loss-refusing writes), tool-enforced crawl budgets, four-gate reference mint test, comparison table vs ClaudeMemory, prioritized adoption opportunities.docs/improvements.md— new "OKF Study (2026-07-16)" section:claude-memory export --format okf— per-fact markdown bundle with provenance-derived citations, generatedindex.mdprogressive disclosure,log.mdfrommemory.changes. The lock-in answer.memory.store_extraction— error shape: invariant → what to preserve → which tool to re-call. Targets Layer-2 extraction loss (#72). Loss guard starts warn-mode.Items were renumbered from #76–#78 to #96–#98 during rebase: the 2026-06-30 and 2026-07-09 re-study cycles on main had already consumed #76–#95.
Docs only — no runtime code changes.