supermemory/apps/docs/memory-review.mdx

---
title: "Review Inferred Memories"
sidebarTitle: "Memory Review"
description: "List and act on low-confidence inferred memories — approve, decline, or undo"
icon: "list-checks"
---

Supermemory's graph automatically **derives** new facts from patterns across your
existing memories (see [Graph Memory](/concepts/graph-memory)). These derived facts
are guesses — the engine wasn't told them directly — so they are flagged as
**inferred** (`isInference: true`) and **down-weighted in search** until confirmed.

These two endpoints let you build a review experience on top of that queue: list the
inferred memories awaiting review, then **approve**, **decline**, or **undo** a
decision on each one.

<Info>
These endpoints are scoped to a single [container tag](/concepts/container-tags)
(space), under `/v3/container-tags/{containerTag}`.
</Info>

## How review affects ranking

While a memory is unreviewed and inferred it is down-weighted in search, so the
engine's guesses rank below facts you stated explicitly. Reviewing it resolves that
either way:

| Action | Result | Effect on search |
|--------|--------|------------------|
| **Approve** | `isInference` cleared | Ranks like a stated fact — no longer down-weighted |
| **Decline** | `isForgotten` set | Removed from search entirely — a rejected guess is forgotten |
| **Undo** | back to unreviewed | Returns to the queue; inferred and down-weighted again |

A reviewed memory is stamped with `reviewStatus` in its metadata so it drops out of the
review queue (declined memories also leave search, since they're forgotten). **Undo**
clears that stamp — and un-forgets a declined memory — bringing it back.

---

## List Inferred Memories

Return the inferred memories for a container tag that are still awaiting review (the
review queue). Reviewed memories are excluded.

```
GET /v3/container-tags/{containerTag}/inferred
```

<Tabs>
  <Tab title="fetch">
    ```typescript
    const res = await fetch(
      "https://api.supermemory.ai/v3/container-tags/user_123/inferred",
      { headers: { "Authorization": `Bearer ${API_KEY}` } }
    );

    const { memories, total } = await res.json();
    ```
  </Tab>
  <Tab title="cURL">
    ```bash
    curl "https://api.supermemory.ai/v3/container-tags/user_123/inferred" \
      -H "Authorization: Bearer $SUPERMEMORY_API_KEY"
    ```
  </Tab>
</Tabs>

### Path parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| `containerTag` | string | The container tag / space to read the review queue for |

### Response

```json
{
  "memories": [
    {
      "id": "mem_abc123",
      "memory": "Alex likely works on Stripe's core payments product",
      "parentCount": 3,
      "createdAt": "2025-01-15T10:30:00.000Z",
      "updatedAt": "2025-01-15T10:30:00.000Z",
      "metadata": { "source": "derive" }
    }
  ],
  "total": 1
}
```

| Field | Type | Description |
|-------|------|-------------|
| `memories[].id` | string | Memory entry ID — pass to the review endpoint |
| `memories[].memory` | string | The inferred memory text |
| `memories[].parentCount` | number | How many source memories this was derived from. Higher = stronger signal |
| `memories[].createdAt` | string | ISO 8601 timestamp |
| `memories[].updatedAt` | string | ISO 8601 timestamp |
| `memories[].metadata` | object \| null | Arbitrary metadata stored on the memory |
| `total` | number | Count of unreviewed inferred memories returned |

<Note>
The queue returns up to **50** memories, ordered by `parentCount` descending (most
strongly supported first), then by `createdAt` descending. It excludes anything that
is forgotten, expired, or already reviewed. An unknown or empty container tag returns
`{ "memories": [], "total": 0 }`.
</Note>

---

## Review an Inferred Memory

Record a decision on a single inferred memory.

```
POST /v3/container-tags/{containerTag}/inferred/{memoryId}/review
```

<Tabs>
  <Tab title="fetch">
    ```typescript
    const res = await fetch(
      "https://api.supermemory.ai/v3/container-tags/user_123/inferred/mem_abc123/review",
      {
        method: "POST",
        headers: {
          "Authorization": `Bearer ${API_KEY}`,
          "Content-Type": "application/json"
        },
        body: JSON.stringify({ action: "approve" })
      }
    );

    const result = await res.json();
    // { id: "mem_abc123", isInference: false, isForgotten: false, reviewStatus: "approved" }
    ```
  </Tab>
  <Tab title="cURL">
    ```bash
    curl -X POST \
      "https://api.supermemory.ai/v3/container-tags/user_123/inferred/mem_abc123/review" \
      -H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{"action": "approve"}'
    ```
  </Tab>
</Tabs>

### Path parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| `containerTag` | string | The container tag / space the memory belongs to |
| `memoryId` | string | The memory entry ID from the list endpoint |

### Body parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `action` | string | yes | One of `approve`, `decline`, or `undo` |

<Warning>
The reject action is named **`decline`**. There is no `reject` value.
</Warning>

**Action semantics:**

- **`approve`** — Promote the memory: clears `isInference`, so it ranks like a stated
  fact instead of a down-weighted guess. Stamps `reviewStatus: "approved"`.
- **`decline`** — Reject the suggestion: the memory is **forgotten**
  (`isForgotten: true`) and stamped `reviewStatus: "declined"`, so it leaves both
  search and the review queue.
- **`undo`** — Revert a prior `approve`/`decline` back to the unreviewed inferred
  state: restores `isInference: true`, un-forgets the memory (`isForgotten: false`),
  and clears the review stamp, so it returns to the queue.

### Response

```json
{
  "id": "mem_abc123",
  "isInference": false,
  "isForgotten": false,
  "reviewStatus": "approved"
}
```

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | The reviewed memory ID |
| `isInference` | boolean | `false` after approve; `true` after decline or undo |
| `isForgotten` | boolean | `true` after decline (the memory is forgotten); `false` otherwise |
| `reviewStatus` | `"approved"` \| `"declined"` \| `null` | The new status; `null` after an undo |

### Errors

| Status | When |
|--------|------|
| `401` | Missing or invalid authentication |
| `404` | The container tag or memory was not found in your organization |
| `409` | The memory isn't reviewable for this action — it's not an inferred memory, or there's no prior review to undo |

---

## Building a review experience

The endpoints are designed for an optimistic, one-at-a-time review UI (swipe to keep /
decline, with undo). A typical client fetches the queue once, then pops each card off
locally as the user decides — `undo` re-adds it.

<Accordion title="React Query hooks (TypeScript)">
```typescript
import { useMutation, useQuery, useQueryClient } from "@tanstack/react-query";

const BASE = "https://api.supermemory.ai/v3";
const key = (tag: string) => ["inferred-memories", tag] as const;

export type InferredMemory = {
  id: string;
  memory: string;
  parentCount: number;
  createdAt: string;
  updatedAt: string;
  metadata: Record<string, unknown> | null;
};

export type ReviewAction = "approve" | "decline" | "undo";

export function useInferredMemories(containerTag: string) {
  return useQuery({
    queryKey: key(containerTag),
    queryFn: async (): Promise<InferredMemory[]> => {
      const res = await fetch(`${BASE}/container-tags/${containerTag}/inferred`, {
        headers: { Authorization: `Bearer ${API_KEY}` },
      });
      if (!res.ok) throw new Error("Failed to load review queue");
      const data = await res.json();
      return data.memories ?? [];
    },
    staleTime: 60_000,
  });
}

export function useReviewInferredMemory(containerTag: string) {
  const queryClient = useQueryClient();
  return useMutation({
    mutationFn: async (vars: { memoryId: string; action: ReviewAction }) => {
      const res = await fetch(
        `${BASE}/container-tags/${containerTag}/inferred/${vars.memoryId}/review`,
        {
          method: "POST",
          headers: {
            Authorization: `Bearer ${API_KEY}`,
            "Content-Type": "application/json",
          },
          body: JSON.stringify({ action: vars.action }),
        },
      );
      if (!res.ok) throw new Error("Review failed");
      return res.json();
    },
    onSuccess: (_data, { memoryId, action }) => {
      // approve/decline remove the card; undo brings it back, so refetch.
      if (action === "undo") {
        queryClient.invalidateQueries({ queryKey: key(containerTag) });
        return;
      }
      queryClient.setQueryData<InferredMemory[]>(key(containerTag), (prev) =>
        prev?.filter((m) => m.id !== memoryId),
      );
    },
  });
}
```
</Accordion>

<Note>
There is no separate "skip" action. A swipe-to-skip is purely client-side — don't send
a request and the memory simply stays in the queue for a later session.
</Note>

---

## Next Steps

- [Graph Memory](/concepts/graph-memory) — How inferred (`derive`) memories are created
- [Memory Operations](/memory-operations) — Create, forget, and update memories
- [Search](/search) — How inferred memories are ranked in results