recall_canonical_knowledge

Compatibility alias for closesession with the same planning and reporting behavior

Analyze a finished session into raw summary metadata, candidate knowledge items, and review-safe consolidation actions

Report duplicate candidates, conflicting statuses, and multiple canonical entries

Delete a memory by ID

Demote a memory one sediment layer down

Consolidate memory for an archived task slug: outdate working/procedural entries, route high-importance ones to the review queue

Re-index documents for RAG search

List canonical knowledge entries projected from confirmed memories

List all memories with optional type/context filtering

Mark a memory as outdated or superseded so trust-aware recall downranks it

Get memory statistics (counts by type)

Merge duplicate memories into a primary entry and archive the rest

Show a structured project bank view for canonical knowledge, decisions, runbooks, incidents, caveats, migrations, the review queue, or sediment promotion candidates

Promote a memory to a higher sediment layer (surface → episodic → semantic → character). See docs/SEDIMENTATION.md

Promote a memory to canonical knowledge and boost its trust ranking

Recall memories by semantic/text query with optional filters and trust-aware ranking

Multi-hop graph-walk recall over the (subj, rel, obj) triple corpus — returns memories ranked by aggregated path score with the chain of triples that reached each result. Use for cross-memory reasoning queries that single-hop search cannot trace. Requires MCPTRIPLEEXTRACTOR populated; backfill via i

Recall similar incidents from memory and indexed postmortems

List files and folders under allowlisted paths

Read a file from allowlisted paths

Text search across allowlisted paths

Resolve a pending review queue item so it disappears from the active inbox while keeping an audit trail

Render the explainable review report for a finished session without forcing writes

Search runbook memories plus indexed runbook docs

Run the sediment transition cycle — auto-applies trivial promotions, routes non-trivial ones to the review queue

Hybrid search across indexed documents with optional sourcetype, trust metadata, and debug explain mode

Get or update the stewardship policy that controls detection thresholds, auto-apply rules, and scheduling

Retrieve the latest stewardship report or a specific one by run ID

Run a knowledge stewardship cycle: scan for duplicates, conflicts, stale entries, and canonical promotion candidates

Record an attempted approach that failed (plus the why and the alternative used) so retrieval can surface it as a pitfall warning on related queries. Use this for standalone failures with no decision context. Use storedecision -avoided-dead-end-id <id> when the dead end is part of a larger architect

Store an engineering decision with rationale, status, and consequences

Store an incident with impact, root cause, resolution, service, and severity

Store a memory with content, type, tags, and importance

Store a postmortem with root cause and action items

Store a runbook with procedure, trigger, verification, and rollback notes

Summarize recent decisions, runbooks, incidents, and related docs

Pull-mode scan over MCPTASKARCHIVEROOTS that runs endtask on every archived slug

Update an existing memory by ID