Brainz

Remove a concept from the vault and all of its outgoing edges. Use to clear a note that is wrong, obsolete, or junk (e.g. a probe or test node that shouldn't be in the graph). Idempotent: deleting an id that doesn't exist is a no-op success (deleted:false), not an error. Deletion is permanent — prefer upsert_concept to correct a note you want to keep. Returns { deleted, id }.

Dreaming: a scheduled consolidation sweep over this vault. Light stages what changed since the last dream (near-duplicate concepts, finished task outcomes, hygiene counts); REM asks an LLM for proposals; deep applies the ones that pass threshold gates: merges duplicates (edges redirected, the other tombstoned), promotes outcome knowledge into concepts, adds missing links, and files a task for each contradiction. A sweep that would touch too much of the vault is rejected; every applied dream keeps preimages and can be reverted. {action: "status"} shows schedule + last dream; {action: "run"} dreams now; {action: "diary"} reads the Dream Diary; {action: "revert", id} undoes one dream; {action: "configure", enabled?, cadenceHours?} sets it up. Without an LLM only light runs.

Write a concept note into the vault (creates or overwrites the markdown file, then reindexes it). Use to capture new product knowledge discovered during a task — a decision made, a constraint hit, a pattern adopted — so future agents can find it. Omit `id` to derive a slug from the title; pass an existing id to update that note. Body is markdown; [[wiki-links]] to other concept ids create graph edges. Returns the saved concept's metadata.

Add a typed, directed edge between two existing concepts by editing the `from` note's frontmatter (e.g. lead-scoring depends_on contact-model). Use when you notice a relationship the vault is missing. Both concepts should already exist; use upsert_concept first if not.

Mark a task done. Sets taskStatus=done + doneAt and appends `outcome` to the task body as an Outcome section. The result carries a one-line `reminder` that the rest of the graph is not updated automatically.

Turn a finding into first-class work: creates a `task`-type concept with taskStatus=open and the given relations — part_of a domain, `realizes` stories/features, `governed_by` specs — plus codeAreas pointing at where the work lands. Use when you discover work that isn't reflected in the codebase yet (a gap, a needed fix, a follow-up). The task then shows up in list_tasks / take_task and on the Kanban board.

Index an existing product's codebase into this vault. {action: "start"} returns the onboarding playbook: a method for surveying the codebase and recording its product knowledge (domains, features, stories, specs, workflows, decisions, constraints) as concepts via upsert_concept, each anchored to the code with codeAreas. {action: "status", areaList} reports onboarded state, concept counts and, given your repo's source areas (Brainz can't read the repo), which areas are covered or uncovered. {action: "complete", summary, areaList} marks the vault onboarded and stores the summary; it is rejected while too many areas are uncovered. Until onboarding completes, search_concepts and get_context results include a one-line note saying so.

Re-index an onboarded vault after the code changes (drift). {action: "start"} returns the sync playbook: the vault's last_synced_at, a coverage map over the concepts' code_areas, and a method for re-indexing only what changed (you run git — Brainz can't read the repo — and pass back changedPaths + areaList): update stale concepts in place, add concepts or tasks for new work, and report coverage gaps. {action: "status", areaList} reports onboarded state, last sync time, staleness, concept counts and coverage. {action: "complete", summary, areaList} stamps last_synced_at and appends the summary to the product-onboarding-summary concept (a running sync log). After ~14 days without a sync, get_context and search results include a one-line note saying so.

Claim a task and get its briefing in one call. Pass an `id` to claim a specific task, or omit it to claim the next open task (oldest open by createdAt then id). Atomically flips the task to "taken" and records takenBy/takenAt; errors if it's already taken or done. Returns the task and a get_context-style briefing for its part_of domain plus the concepts it realizes / is governed_by (with code_areas). complete_task marks it done.

Fetch one concept by exact id: full markdown body, metadata, and its direct graph neighbors (each with the relation that connects it). Use after search_concepts or when another note wiki-links an id you need in full. The neighbors list tells you what to fetch next. If you don't know the id, use search_concepts instead.

Assemble a markdown briefing of the concepts most relevant to a query and/or explicit ids, expanded through the graph and trimmed to a token budget. The briefing is self-contained, so it can be handed to another agent or pasted into a prompt as-is. The final JSON line reports which concept ids were included, whether the bundle was truncated, and its approximate token count. Provide at least one of `query` or `ids`.

Walk the knowledge graph outward from a concept and return everything within `depth` hops, with distance and the edge path that reached it. Use to map the blast radius before changing a feature (what depends on it, what constrains it, which decisions apply) or to discover structure that keyword search misses. Filter by relation names (e.g. depends_on) to follow only one kind of edge.

Enumerate concept metadata (no bodies), optionally filtered by product, type, or a single tag. Use to get the lay of the land in an unfamiliar vault, to audit what exists (e.g. all decisions for a product), or when search vocabulary isn't matching. For content, follow up with get_concept or get_context.

List the vault's work pile: `task`-type concepts with their lifecycle (open/taken/done), oldest first, including who has taken each one (takenBy). Filter by taskStatus or by the domain the tasks are part_of. Read-only; take_task is what claims a task.

Search the product knowledge vault by free-text query. Useful when you need product knowledge but don't yet know which concept ids exist. Returns ranked hits (id, title, type, score, snippet) only; get_concept returns one full note and get_context an assembled briefing. An empty hit list means nothing matched.

Summarize the vault: counts of concepts and edges, the products and tags in use, a breakdown by concept type, and whether semantic search is available. Useful for gauging how much knowledge is here and which product/tag filters exist.