steward_policy
Get or update the stewardship policy that controls detection thresholds, auto-apply rules, and scheduling
How to use it
steward_policy is exposed by the Agent Memory MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the steward_policy tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install Agent Memory MCP
go install github.com/ipiton/agent-memory-mcp/cmd/agent-memory-mcp@latestOther tools in Agent Memory MCP (39)
Persist the raw summary and auto-apply only low-risk consolidation actions
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Mark a memory as outdated or superseded so trust-aware recall downranks it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 canonical knowledge only, excluding raw memories from results
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
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