Archivia un archivio di memoria

BetaManagedAgentsMemoryStore beta().memoryStores().archive(params = MemoryStoreArchiveParams.none(), requestOptions = RequestOptions.none())

POST/v1/memory_stores/{memory_store_id}/archive

Parameters

MemoryStoreArchiveParams params

Optional<String> memoryStoreId⁠Path

ID of the memory store to archive (a memstore_... identifier). Required. Archiving is one-way and idempotent; archived stores cannot be unarchived. Enumerate IDs via GET /v1/memory_stores.

Optional<List<AnthropicBeta>> betas⁠Header

This endpoint is in beta: requests must send agent-memory-2026-07-22 or managed-agents-2026-04-01 in this header.

MESSAGE_BATCHES_2024_09_24("message-batches-2024-09-24")

PROMPT_CACHING_2024_07_31("prompt-caching-2024-07-31")

COMPUTER_USE_2024_10_22("computer-use-2024-10-22")

COMPUTER_USE_2025_01_24("computer-use-2025-01-24")

PDFS_2024_09_25("pdfs-2024-09-25")

TOKEN_COUNTING_2024_11_01("token-counting-2024-11-01")

TOKEN_EFFICIENT_TOOLS_2025_02_19("token-efficient-tools-2025-02-19")

OUTPUT_128K_2025_02_19("output-128k-2025-02-19")

FILES_API_2025_04_14("files-api-2025-04-14")

MCP_CLIENT_2025_04_04("mcp-client-2025-04-04")

MCP_CLIENT_2025_11_20("mcp-client-2025-11-20")

DEV_FULL_THINKING_2025_05_14("dev-full-thinking-2025-05-14")

INTERLEAVED_THINKING_2025_05_14("interleaved-thinking-2025-05-14")

CODE_EXECUTION_2025_05_22("code-execution-2025-05-22")

EXTENDED_CACHE_TTL_2025_04_11("extended-cache-ttl-2025-04-11")

CONTEXT_1M_2025_08_07("context-1m-2025-08-07")

CONTEXT_MANAGEMENT_2025_06_27("context-management-2025-06-27")

MODEL_CONTEXT_WINDOW_EXCEEDED_2025_08_26("model-context-window-exceeded-2025-08-26")

SKILLS_2025_10_02("skills-2025-10-02")

FAST_MODE_2026_02_01("fast-mode-2026-02-01")

OUTPUT_300K_2026_03_24("output-300k-2026-03-24")

USER_PROFILES_2026_03_24("user-profiles-2026-03-24")

USER_PROFILES_2026_08_18("user-profiles-2026-08-18")

USER_PROFILES_2026_09_04("user-profiles-2026-09-04")

ADVISOR_TOOL_2026_03_01("advisor-tool-2026-03-01")

MANAGED_AGENTS_2026_04_01("managed-agents-2026-04-01")

CACHE_DIAGNOSIS_2026_04_07("cache-diagnosis-2026-04-07")

DREAMING_2026_04_21("dreaming-2026-04-21")

THINKING_TOKEN_COUNT_2026_05_13("thinking-token-count-2026-05-13")

SERVER_SIDE_FALLBACK_2026_06_01("server-side-fallback-2026-06-01")

SERVER_SIDE_FALLBACK_2026_07_01("server-side-fallback-2026-07-01")

FALLBACK_CREDIT_2026_06_01("fallback-credit-2026-06-01")

FALLBACK_CREDIT_2026_07_01("fallback-credit-2026-07-01")

AGENT_MEMORY_2026_07_22("agent-memory-2026-07-22")

MID_CONVERSATION_TOOL_CHANGES_2026_07_01("mid-conversation-tool-changes-2026-07-01")

COMPACT_2026_01_12("compact-2026-01-12")

COMPUTER_USE_2025_11_24("computer-use-2025-11-24")

MCP_TUNNELS_2026_06_22("mcp-tunnels-2026-06-22")

STRUCTURED_OUTPUTS_2025_11_13("structured-outputs-2025-11-13")

TASK_BUDGETS_2026_03_13("task-budgets-2026-03-13")

THINKING_DISPLAY_UPDATES_2026_08_18("thinking-display-updates-2026-08-18")

CE_USER_MANAGEMENT_2026_07_13("ce-user-management-2026-07-13")

MID_CONVERSATION_OUTPUT_CONFIG_2026_07_01("mid-conversation-output-config-2026-07-01")

THINKING_BINDING_CONTROLS_2026_08_01("thinking-binding-controls-2026-08-01")

MID_CONVERSATION_SYSTEM_CLEAR_AT_2026_08_21("mid-conversation-system-clear-at-2026-08-21")

COMPACT_2026_09_04("compact-2026-09-04")

INLINE_TOOLS_2026_09_15("inline-tools-2026-09-15")

MCP_CLIENT_2026_09_15("mcp-client-2026-09-15")

CE_PLUGINS_2026_09_01("ce-plugins-2026-09-01")

SPEND_LIMIT_READS_2026_09_26("spend-limit-reads-2026-09-26")

TELEMETRY_DESTINATIONS_2026_08_11("telemetry-destinations-2026-08-11")

Optional<String> workspaceId⁠Header

Optional header to select the Workspace for this request. The value is a Workspace ID (for example, wrkspc_011CZkZaBF1tNoB5wlCeusgy).

Only needed for credentials that can act on more than one Workspace. A credential that belongs to a specific Workspace may omit it; if sent, it must match that Workspace.

Returns

class BetaManagedAgentsMemoryStore { type; id; archivedAt; /* 5 more */ }

A memory_store: a named container for agent memories, scoped to a workspace. Attach a store to a session via resources[] to mount it as a directory the agent can read and write.

Type type

String id

Unique identifier for the memory store (a memstore_... tagged ID). Use this when attaching the store to a session, or in the {memory_store_id} path parameter of subsequent calls.

Optional<LocalDateTime> archivedAt

Timestamp when the store was archived, or null if active. Set once and never cleared; archiving is one-way. Archived stores are read-only and cannot be attached to new sessions.

formatdate-time

LocalDateTime createdAt

Timestamp when the store was created.

formatdate-time

String description

Free-text description of what the store contains, up to 1024 characters. Included in the agent's system prompt when the store is attached, so word it to be useful to the agent. Empty string when unset.

Metadata metadata

Arbitrary key-value tags for your own bookkeeping (such as the end user a store belongs to). Up to 16 pairs; keys 1–64 characters; values up to 512 characters. Returned on retrieve/list but not filterable.

String name

Human-readable name for the store. 1–255 characters. The store's mount-path slug under /mnt/memory/ is derived from this name.

LocalDateTime updatedAt

Timestamp when the store's name, description, or metadata was last modified. Memory writes inside the store do not advance this.

formatdate-time

Archivia un archivio di memoria

package com.anthropic.example;

import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.beta.memorystores.BetaManagedAgentsMemoryStore;
import com.anthropic.models.beta.memorystores.MemoryStoreArchiveParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        AnthropicClient client = AnthropicOkHttpClient.fromEnv();

        BetaManagedAgentsMemoryStore betaManagedAgentsMemoryStore = client.beta().memoryStores().archive("memory_store_id");
    }
}

Response 200

{
  "id": "id",
  "archived_at": "2019-12-27T18:11:19.117Z",
  "created_at": "2019-12-27T18:11:19.117Z",
  "description": "description",
  "metadata": {
    "foo": "string"
  },
  "name": "name",
  "type": "memory_store",
  "updated_at": "2019-12-27T18:11:19.117Z"
}

Returns Examples

Response 200

{
  "id": "id",
  "archived_at": "2019-12-27T18:11:19.117Z",
  "created_at": "2019-12-27T18:11:19.117Z",
  "description": "description",
  "metadata": {
    "foo": "string"
  },
  "name": "name",
  "type": "memory_store",
  "updated_at": "2019-12-27T18:11:19.117Z"
}