recollect

# Anamnesis Protocol Resolve vague recall into recognized context through AI-guided contextual scan and user-validated recognition. Type: `(RecallAmbiguous, AI, RECOGNIZE, VagueRecall) → RecalledContext`. ## Definition **Anamnesis** (ἀνάμνησις): A dialogical act of resolving vague recall into recognized context, where AI detects empty intention, scans the SSOT plus the hypomnesis INDEX with contextual awareness (`memory/` is a non-scanned, user-curated realization-layer adjunct — see STORE TOPOLOGY), presents narrative candidates for Socratic recognition, and facilitates guided recall orientation when initial candidates do not match — grounded in user-constituted identification rather than keyword retrieval. ``` ── FLOW ── Anamnesis(V) → Detect(V) → not-empty_intention(V): relay(finding) → proceed (no activation) empty_intention(V): Classify(V, Σ) → InputType → Dispatch(InputType) → Track ∈ {entropy, salience, hybrid} → Scan_{Track}(Store, trace(V)) → Rank(C[], trace(V)) → |C[]| = 0 ∧ attempts = 0: Probe(V, Σ) → Qs(probe) → Stop → H → enrich(V, H) → re-scan |C[]| = 0 ∧ attempts > 0: NullMatch → inform(V, Σ) → deactivate |C[]| > 0: backtrace_parent(c) ∀ c ∈ C[] : fork_marker(c) → parent_pointer, parent_cwd -- deterministic: a fork candidate's parent is recoverable from its own record, not inferred (mechanism in TOOL GROUNDING; ≠ user-described Reorient) SingleObvious(C[]): emit(ClueVector_prose(C[top]) ⊕ divergence_affordance) → recall_...