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@ -185,6 +185,7 @@
"self-hosting/quickstart",
"self-hosting/configuration",
"self-hosting/embeddings",
"self-hosting/backup-and-export",
"self-hosting/providers",
"self-hosting/local-vs-enterprise"
]

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@ -0,0 +1,228 @@
---
title: "Backup & Export"
sidebarTitle: "Backup & Export"
description: "How to export and back up distilled memories and documents from your self-hosted instance."
icon: "download"
---
Self-hosted Supermemory stores all state inside `$SUPERMEMORY_DATA_DIR` (default: `./.supermemory`).
This guide explains how to back up and export both your **distilled memory cards** (extracted facts) and **raw ingested documents**.
## Overview: Memories vs Documents
Supermemory distinguishes between two layers of context:
1. **Documents (`/v3/documents`)**: The raw source material you ingested (chat logs, transcripts, Markdown files, PDFs, web pages).
2. **Extracted Memories (`/v4/memories`)**: The distilled, atomic facts extracted from documents, complete with version history, temporal status, and container tags.
> **Why not copy `./.supermemory/data` directly?**
> The local store uses an encrypted PGlite container (`SMD1` format) keyed to the machine environment. To produce portable, human-readable backups or migrate between machines, use the HTTP export APIs described below.
---
## Exporting Extracted Memories
To export the distilled memory cards for any container tag, use the `POST /v4/memories/list` endpoint. Unlike search recall (`searchMode: "memories"`), which only returns top-K semantically matching items, `/v4/memories/list` provides **exhaustive, paginated access** to all extracted facts.
### Endpoint
```http
POST /v4/memories/list
Content-Type: application/json
Authorization: Bearer <SUPERMEMORY_API_KEY>
```
#### Request Payload
```json
{
"containerTags": ["user_123"],
"page": 1,
"limit": 50,
"sort": "createdAt",
"order": "desc"
}
```
#### Response Structure
```json
{
"memoryEntries": [
{
"id": "mem_01J6ABC...",
"memory": "User prefers TypeScript and strict mode enabled",
"version": 1,
"isLatest": true,
"isForgotten": false,
"isStatic": true,
"createdAt": "2026-08-20T10:00:00.000Z",
"updatedAt": "2026-08-20T10:00:00.000Z",
"documentIds": ["doc_01J6XYZ..."],
"history": []
}
],
"pagination": {
"currentPage": 1,
"limit": 50,
"totalItems": 142,
"totalPages": 3
}
}
```
---
## Full Export Scripts
### 1. Using the CLI (`supermemory-export`)
You can export memories directly from your terminal using the CLI packaged with `@supermemory/tools`:
```bash
# Export to stdout as JSON
bunx @supermemory/tools supermemory-export --tag user_123
# Export to a JSON file from local self-hosted server
bunx @supermemory/tools supermemory-export --tag user_123 --out ./memories.json --url http://localhost:6767
# Export as formatted Markdown notes
bunx @supermemory/tools supermemory-export --tag user_123 --format markdown --out ./memories.md
```
### 2. Programmatic Export (TypeScript / Bun)
If you use `@supermemory/tools` in your application:
```typescript
import {
exportMemoriesAsJson,
exportMemoriesAsMarkdown,
fetchAllMemories,
} from "@supermemory/tools";
const options = {
baseUrl: "http://localhost:6767",
apiKey: process.env.SUPERMEMORY_API_KEY || "sm_...",
};
// Export to JSON backup
const jsonBackup = await exportMemoriesAsJson("user_123", options);
await Bun.write("memories-backup.json", jsonBackup);
// Export to human-readable Markdown
const markdownNotes = await exportMemoriesAsMarkdown("user_123", options);
await Bun.write("memories-export.md", markdownNotes);
```
### 3. Standalone Python Export Script
Run this script against your local server to export all memories to JSON:
```python
import os
import json
import requests
BASE_URL = os.getenv("SUPERMEMORY_API_URL", "http://localhost:6767")
API_KEY = os.getenv("SUPERMEMORY_API_KEY", "")
CONTAINER_TAG = "user_123"
def export_all_memories(container_tag):
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
}
page = 1
limit = 50
all_memories = []
while True:
payload = {
"containerTags": [container_tag],
"page": page,
"limit": limit,
"sort": "createdAt",
"order": "desc"
}
res = requests.post(f"{BASE_URL}/v4/memories/list", json=payload, headers=headers)
res.raise_for_status()
data = res.json()
entries = data.get("memoryEntries", [])
all_memories.extend(entries)
pagination = data.get("pagination", {})
total_pages = pagination.get("totalPages", 1)
print(f"Fetched page {page} / {total_pages} ({len(entries)} entries)")
if page >= total_pages or not entries:
break
page += 1
return all_memories
if __name__ == "__main__":
memories = export_all_memories(CONTAINER_TAG)
output_file = f"memories_{CONTAINER_TAG}.json"
with open(output_file, "w", encoding="utf-8") as f:
json.dump({
"containerTag": CONTAINER_TAG,
"totalCount": len(memories),
"memories": memories
}, f, indent=2)
print(f"Exported {len(memories)} memories to {output_file}")
```
### 4. Quick cURL Export
```bash
curl -s -X POST "http://localhost:6767/v4/memories/list" \
-H "Authorization: Bearer $SUPERMEMORY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"containerTags": ["user_123"],
"page": 1,
"limit": 50
}' | jq .
```
---
## Exporting Raw Documents
To back up the underlying conversation sessions, files, and text documents:
```bash
curl -s "http://localhost:6767/v3/documents?containerTag=user_123&page=1&limit=50" \
-H "Authorization: Bearer $SUPERMEMORY_API_KEY" | jq .
```
To fetch the full text of a specific document:
```bash
curl -s "http://localhost:6767/v3/documents/{documentId}" \
-H "Authorization: Bearer $SUPERMEMORY_API_KEY" | jq .
```
---
## Migration to Hosted Platform
To migrate your exported memories from a local server to the hosted platform:
1. Export your memory cards using the scripts above.
2. Direct-write the memories into the hosted platform via `POST /v4/memories`:
```bash
curl -X POST "https://api.supermemory.ai/v4/memories" \
-H "Authorization: Bearer $SUPERMEMORY_CLOUD_KEY" \
-H "Content-Type: application/json" \
-d '{
"memories": [
{ "content": "User prefers TypeScript and strict mode enabled", "isStatic": true }
],
"containerTag": "user_123"
}'
```

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@ -75,7 +75,7 @@ If you outgrow a single machine — or want connectors, MCP, and the best-tuned
## Next steps
<CardGroup cols={3}>
<CardGroup cols={2}>
<Card title="Quickstart" icon="play" href="/self-hosting/quickstart">
Install, run, and store your first memory in under two minutes
</Card>
@ -85,4 +85,7 @@ If you outgrow a single machine — or want connectors, MCP, and the best-tuned
<Card title="Embeddings" icon="waypoints" href="/self-hosting/embeddings">
Local default, remote providers, multilingual, dimension lock
</Card>
<Card title="Backup & Export" icon="download" href="/self-hosting/backup-and-export">
Export and back up distilled memories and documents
</Card>
</CardGroup>

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@ -0,0 +1,127 @@
#!/usr/bin/env bun
/**
* CLI to export extracted memories from Supermemory (self-hosted or hosted platform).
*
* Usage:
* bun run ./bin/supermemory-export.ts --tag user_123 [--format json|markdown] [--out backup.json] [--url http://localhost:6767]
*/
import { parseArgs } from "node:util"
import { writeFile } from "node:fs/promises"
import {
exportMemoriesAsJson,
exportMemoriesAsMarkdown,
} from "../src/shared/export-memories"
function printHelp() {
console.log(`
Supermemory Memory Export CLI
=============================
Export extracted memories and facts from Supermemory (self-hosted or cloud platform).
Usage:
supermemory-export --tag <containerTag> [options]
Options:
-t, --tag <tag> Container tag to export memories from (required)
-f, --format <format> Output format: 'json' (default) or 'markdown'
-o, --out <path> Output file path (default: stdout)
-u, --url <url> Supermemory server base URL (default: $SUPERMEMORY_API_URL or http://localhost:6767)
-k, --key <key> Supermemory API key (default: $SUPERMEMORY_API_KEY)
--include-forgotten Include soft-forgotten memories in export
-h, --help Show this help message
Examples:
# Export to stdout as JSON
supermemory-export --tag user_123
# Export to a JSON backup file from self-hosted server
supermemory-export --tag user_123 --out ./backup.json --url http://localhost:6767
# Export as Markdown notes from cloud platform
supermemory-export --tag user_123 --format markdown --out ./notes.md --url https://api.supermemory.ai --key sm_...
`)
}
async function main() {
let parsed: ReturnType<typeof parseArgs>
try {
parsed = parseArgs({
args: process.argv.slice(2),
options: {
tag: { type: "string", short: "t" },
format: { type: "string", short: "f", default: "json" },
out: { type: "string", short: "o" },
url: {
type: "string",
short: "u",
default: process.env.SUPERMEMORY_API_URL || "http://localhost:6767",
},
key: {
type: "string",
short: "k",
default: process.env.SUPERMEMORY_API_KEY || "",
},
"include-forgotten": { type: "boolean", default: false },
help: { type: "boolean", short: "h" },
},
allowPositionals: true,
})
} catch (err: unknown) {
console.error(`Error: ${err instanceof Error ? err.message : String(err)}`)
printHelp()
process.exit(1)
}
const { values } = parsed
if (values.help) {
printHelp()
process.exit(0)
}
const tag = values.tag
if (!tag) {
console.error("Error: --tag <containerTag> is required.")
printHelp()
process.exit(1)
}
const format = values.format?.toLowerCase() || "json"
const baseUrl = values.url || "http://localhost:6767"
const apiKey = values.key || ""
const includeForgotten = Boolean(values["include-forgotten"])
try {
let output: string
if (format === "markdown" || format === "md") {
output = await exportMemoriesAsMarkdown(tag, {
baseUrl,
apiKey,
includeForgotten,
})
} else {
output = await exportMemoriesAsJson(tag, {
baseUrl,
apiKey,
includeForgotten,
})
}
if (values.out) {
await writeFile(values.out, output, "utf-8")
console.error(
`✓ Successfully exported memories for '${tag}' to ${values.out}`,
)
} else {
process.stdout.write(`${output}\n`)
}
} catch (err: unknown) {
console.error(
`Failed to export memories: ${err instanceof Error ? err.message : String(err)}`,
)
process.exit(1)
}
}
main()

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@ -41,11 +41,15 @@
"optional": true
}
},
"bin": {
"supermemory-export": "./bin/supermemory-export.ts"
},
"main": "./dist/index.js",
"module": "./dist/index.js",
"types": "./dist/index.d.ts",
"files": [
"dist"
"dist",
"bin"
],
"exports": {
".": "./dist/index.js",

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@ -0,0 +1,267 @@
import { describe, expect, it } from "bun:test"
import {
exportMemoriesAsJson,
exportMemoriesAsMarkdown,
fetchAllMemories,
listMemoriesRequest,
type MemoriesListResponse,
} from "./shared/export-memories"
function createMockFetch(responses: MemoriesListResponse[]) {
let callCount = 0
const fetchMock = async (
_url: string | URL | Request,
_init?: RequestInit,
) => {
const pageResponse = responses[callCount] || {
memoryEntries: [],
pagination: {
currentPage: callCount + 1,
limit: 10,
totalItems: 0,
totalPages: 1,
},
}
callCount++
return {
ok: true,
status: 200,
statusText: "OK",
json: async () => pageResponse,
text: async () => JSON.stringify(pageResponse),
} as Response
}
return {
fetchFn: fetchMock as unknown as typeof fetch,
getCallCount: () => callCount,
}
}
describe("listMemoriesRequest", () => {
it("sends correct POST body and headers to /v4/memories/list", async () => {
let capturedUrl = ""
let capturedInit: RequestInit | undefined
const customFetch = async (
url: string | URL | Request,
init?: RequestInit,
) => {
capturedUrl = String(url)
capturedInit = init
return {
ok: true,
status: 200,
json: async () => ({
memoryEntries: [
{
id: "mem_1",
memory: "User prefers TypeScript",
version: 1,
isLatest: true,
isForgotten: false,
createdAt: "2026-09-01T10:00:00.000Z",
updatedAt: "2026-09-01T10:00:00.000Z",
},
],
pagination: {
currentPage: 1,
limit: 10,
totalItems: 1,
totalPages: 1,
},
}),
} as Response
}
const result = await listMemoriesRequest(
"sm_test_key",
{ containerTags: ["user_123"], page: 1, limit: 10 },
"http://localhost:6767",
{ fetchFn: customFetch as unknown as typeof fetch },
)
expect(capturedUrl).toBe("http://localhost:6767/v4/memories/list")
expect(capturedInit?.method).toBe("POST")
expect(
(capturedInit?.headers as Record<string, string>)?.Authorization,
).toBe("Bearer sm_test_key")
const parsedBody = JSON.parse(String(capturedInit?.body))
expect(parsedBody.containerTags).toEqual(["user_123"])
expect(parsedBody.page).toBe(1)
expect(result.memoryEntries).toHaveLength(1)
expect(result.memoryEntries[0].memory).toBe("User prefers TypeScript")
})
it("throws on non-200 responses with descriptive error", async () => {
const customFetch = async () =>
({
ok: false,
status: 400,
statusText: "Bad Request",
text: async () =>
JSON.stringify({ error: "Container tag is required" }),
}) as unknown as Response
expect(
listMemoriesRequest(
"sm_key",
{ containerTags: [] },
"http://localhost:6767",
{ fetchFn: customFetch as unknown as typeof fetch },
),
).rejects.toThrow("Supermemory list memories failed: 400 Bad Request")
})
})
describe("fetchAllMemories", () => {
it("paginates through all pages until totalPages is reached", async () => {
const page1: MemoriesListResponse = {
memoryEntries: [
{
id: "mem_1",
memory: "Fact 1",
version: 1,
isLatest: true,
isForgotten: false,
createdAt: "2026-09-01T10:00:00.000Z",
updatedAt: "2026-09-01T10:00:00.000Z",
},
{
id: "mem_2",
memory: "Fact 2 (forgotten)",
version: 1,
isLatest: true,
isForgotten: true,
createdAt: "2026-09-01T11:00:00.000Z",
updatedAt: "2026-09-01T11:00:00.000Z",
},
],
pagination: { currentPage: 1, limit: 2, totalItems: 3, totalPages: 2 },
}
const page2: MemoriesListResponse = {
memoryEntries: [
{
id: "mem_3",
memory: "Fact 3",
version: 1,
isLatest: true,
isForgotten: false,
createdAt: "2026-09-01T12:00:00.000Z",
updatedAt: "2026-09-01T12:00:00.000Z",
},
],
pagination: { currentPage: 2, limit: 2, totalItems: 3, totalPages: 2 },
}
const { fetchFn, getCallCount } = createMockFetch([page1, page2])
const memories = await fetchAllMemories("user_123", {
baseUrl: "http://localhost:6767",
apiKey: "sm_key",
fetchFn,
})
expect(getCallCount()).toBe(2)
// By default forgotten memories are excluded
expect(memories).toHaveLength(2)
expect(memories[0].id).toBe("mem_1")
expect(memories[1].id).toBe("mem_3")
})
it("includes forgotten memories when includeForgotten is true", async () => {
const page1: MemoriesListResponse = {
memoryEntries: [
{
id: "mem_1",
memory: "Fact 1",
version: 1,
isLatest: true,
isForgotten: false,
createdAt: "2026-09-01T10:00:00.000Z",
updatedAt: "2026-09-01T10:00:00.000Z",
},
{
id: "mem_2",
memory: "Fact 2 (forgotten)",
version: 1,
isLatest: true,
isForgotten: true,
createdAt: "2026-09-01T11:00:00.000Z",
updatedAt: "2026-09-01T11:00:00.000Z",
},
],
pagination: { currentPage: 1, limit: 2, totalItems: 2, totalPages: 1 },
}
const { fetchFn } = createMockFetch([page1])
const memories = await fetchAllMemories("user_123", {
includeForgotten: true,
fetchFn,
})
expect(memories).toHaveLength(2)
expect(memories[1].id).toBe("mem_2")
expect(memories[1].isForgotten).toBe(true)
})
})
describe("exportMemoriesAsJson and exportMemoriesAsMarkdown", () => {
const sampleData: MemoriesListResponse = {
memoryEntries: [
{
id: "mem_abc123",
memory: "User works at Acme Corp",
version: 2,
isLatest: true,
isForgotten: false,
isStatic: true,
createdAt: "2026-08-01T00:00:00.000Z",
updatedAt: "2026-08-10T00:00:00.000Z",
documentIds: ["doc_1", "doc_2"],
history: [
{
id: "mem_abc122",
memory: "User works at Startup",
version: 1,
createdAt: "2026-07-01T00:00:00.000Z",
updatedAt: "2026-07-01T00:00:00.000Z",
},
],
},
],
pagination: { currentPage: 1, limit: 50, totalItems: 1, totalPages: 1 },
}
it("exports memories as valid JSON with backup metadata", async () => {
const { fetchFn } = createMockFetch([sampleData])
const jsonString = await exportMemoriesAsJson("user_123", {
baseUrl: "http://localhost:6767",
fetchFn,
})
const parsed = JSON.parse(jsonString)
expect(parsed.containerTag).toBe("user_123")
expect(parsed.totalCount).toBe(1)
expect(parsed.baseUrl).toBe("http://localhost:6767")
expect(parsed.memories).toHaveLength(1)
expect(parsed.memories[0].id).toBe("mem_abc123")
expect(parsed.memories[0].memory).toBe("User works at Acme Corp")
})
it("exports memories as clean Markdown format", async () => {
const { fetchFn } = createMockFetch([sampleData])
const markdown = await exportMemoriesAsMarkdown("user_123", {
baseUrl: "http://localhost:6767",
fetchFn,
})
expect(markdown).toContain("# Supermemory Backup: user_123")
expect(markdown).toContain("Total Memories:** 1")
expect(markdown).toContain("### 1. User works at Acme Corp")
expect(markdown).toContain("- **ID:** `mem_abc123`")
expect(markdown).toContain("- **Type:** Static")
expect(markdown).toContain("- **Source Documents:** `doc_1`, `doc_2`")
expect(markdown).toContain("- **Previous Revisions:** 1")
})
})

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@ -10,3 +10,17 @@ export {
DEFAULT_VALUES,
getContainerTags,
} from "./tools-shared"
export {
listMemoriesRequest,
fetchAllMemories,
exportMemoriesAsJson,
exportMemoriesAsMarkdown,
type MemoryEntry,
type MemoryEntryHistory,
type MemoriesListResponse,
type ListMemoriesParams,
type ListMemoriesRequestOptions,
type ExportMemoriesOptions,
type MemoriesExportData,
} from "./shared"

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@ -0,0 +1,232 @@
const DEFAULT_BASE_URL = "https://api.supermemory.ai"
const FETCH_TIMEOUT_MS = 30_000
const DEFAULT_PAGE_SIZE = 50
export interface MemoryEntryHistory {
id: string
memory: string
version: number
createdAt: string
updatedAt: string
parentMemoryId?: string | null
rootMemoryId?: string | null
isLatest?: boolean
isForgotten?: boolean
}
export interface MemoryEntry {
id: string
memory: string
version: number
isLatest: boolean
isForgotten: boolean
isStatic?: boolean
isInference?: boolean
createdAt: string
updatedAt: string
sourceCount?: number
documentIds?: string[]
history?: MemoryEntryHistory[]
}
export interface MemoriesListResponse {
memoryEntries: MemoryEntry[]
pagination: {
currentPage: number
limit: number
totalItems: number
totalPages: number
}
}
export interface ListMemoriesParams {
containerTags: string[]
page?: number
limit?: number
sort?: "createdAt" | "updatedAt"
order?: "asc" | "desc"
filters?: unknown
}
export interface ListMemoriesRequestOptions {
signal?: AbortSignal
fetchFn?: typeof fetch
}
export interface ExportMemoriesOptions {
baseUrl?: string
apiKey?: string
pageSize?: number
maxPages?: number
includeForgotten?: boolean
signal?: AbortSignal
fetchFn?: typeof fetch
}
export interface MemoriesExportData {
containerTag: string
exportedAt: string
totalCount: number
baseUrl: string
memories: MemoryEntry[]
}
/**
* Fetch a page of memory entries directly from the `/v4/memories/list` endpoint.
* Works with both hosted platform (`https://api.supermemory.ai`) and
* self-hosted Supermemory server (`http://localhost:6767`).
*/
export async function listMemoriesRequest(
apiKey: string,
params: ListMemoriesParams,
baseUrl: string = DEFAULT_BASE_URL,
options?: ListMemoriesRequestOptions,
): Promise<MemoriesListResponse> {
const customFetch = options?.fetchFn ?? fetch
const cleanBase = baseUrl.replace(/\/+$/, "")
const response = await customFetch(`${cleanBase}/v4/memories/list`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${apiKey}`,
"x-sm-source": "tools-export",
},
body: JSON.stringify({
containerTags: params.containerTags,
page: params.page ?? 1,
limit: params.limit ?? DEFAULT_PAGE_SIZE,
sort: params.sort ?? "createdAt",
order: params.order ?? "desc",
...(params.filters ? { filters: params.filters } : {}),
}),
signal: options?.signal ?? AbortSignal.timeout(FETCH_TIMEOUT_MS),
})
if (!response.ok) {
const errorText = await response.text().catch(() => "Unknown error")
throw new Error(
`Supermemory list memories failed: ${response.status} ${response.statusText}. ${errorText}`,
)
}
return (await response.json()) as MemoriesListResponse
}
/**
* Iteratively fetch all memory entries for a specific containerTag across all pages.
*/
export async function fetchAllMemories(
containerTag: string,
options?: ExportMemoriesOptions,
): Promise<MemoryEntry[]> {
const baseUrl = options?.baseUrl ?? DEFAULT_BASE_URL
const apiKey = options?.apiKey ?? ""
const limit = options?.pageSize ?? DEFAULT_PAGE_SIZE
const maxPages = options?.maxPages ?? 1000
const includeForgotten = options?.includeForgotten ?? false
const allMemories: MemoryEntry[] = []
let currentPage = 1
let hasMore = true
while (hasMore && currentPage <= maxPages) {
const response = await listMemoriesRequest(
apiKey,
{
containerTags: [containerTag],
page: currentPage,
limit,
sort: "createdAt",
order: "desc",
},
baseUrl,
{
signal: options?.signal,
fetchFn: options?.fetchFn,
},
)
const entries = response.memoryEntries ?? []
for (const entry of entries) {
if (!includeForgotten && entry.isForgotten) {
continue
}
allMemories.push(entry)
}
const totalPages = response.pagination?.totalPages ?? 1
if (currentPage >= totalPages || entries.length === 0) {
hasMore = false
} else {
currentPage++
}
}
return allMemories
}
/**
* Export all memories for a container tag formatted as JSON with backup metadata.
*/
export async function exportMemoriesAsJson(
containerTag: string,
options?: ExportMemoriesOptions,
): Promise<string> {
const memories = await fetchAllMemories(containerTag, options)
const exportData: MemoriesExportData = {
containerTag,
exportedAt: new Date().toISOString(),
totalCount: memories.length,
baseUrl: options?.baseUrl ?? DEFAULT_BASE_URL,
memories,
}
return JSON.stringify(exportData, null, 2)
}
/**
* Export all memories for a container tag formatted as human-readable Markdown.
*/
export async function exportMemoriesAsMarkdown(
containerTag: string,
options?: ExportMemoriesOptions,
): Promise<string> {
const memories = await fetchAllMemories(containerTag, options)
const lines: string[] = [
`# Supermemory Backup: ${containerTag}`,
"",
`- **Exported At:** ${new Date().toISOString()}`,
`- **Total Memories:** ${memories.length}`,
`- **Server:** ${options?.baseUrl ?? DEFAULT_BASE_URL}`,
"",
"---",
"",
]
if (memories.length === 0) {
lines.push("_No memories found for this container tag._")
return lines.join("\n")
}
for (let i = 0; i < memories.length; i++) {
const m = memories[i]
const status = m.isForgotten ? " [FORGOTTEN]" : ""
const type = m.isStatic ? "Static" : "Dynamic"
lines.push(`### ${i + 1}. ${m.memory}${status}`)
lines.push(`- **ID:** \`${m.id}\``)
lines.push(`- **Type:** ${type}`)
lines.push(`- **Version:** ${m.version}`)
lines.push(`- **Created:** ${m.createdAt}`)
lines.push(`- **Updated:** ${m.updatedAt}`)
if (m.documentIds && m.documentIds.length > 0) {
lines.push(
`- **Source Documents:** ${m.documentIds.map((d) => `\`${d}\``).join(", ")}`,
)
}
if (m.history && m.history.length > 0) {
lines.push(`- **Previous Revisions:** ${m.history.length}`)
}
lines.push("")
}
return lines.join("\n")
}

View file

@ -51,3 +51,18 @@ export {
wrapMemoryContext,
replaceMemoryContext,
} from "./memory-context"
// Memory listing and export
export {
listMemoriesRequest,
fetchAllMemories,
exportMemoriesAsJson,
exportMemoriesAsMarkdown,
type MemoryEntry,
type MemoryEntryHistory,
type MemoriesListResponse,
type ListMemoriesParams,
type ListMemoriesRequestOptions,
type ExportMemoriesOptions,
type MemoriesExportData,
} from "./export-memories"