Claude Platform Docs

Retrieve a memory store

beta.memory_stores.retrieve(strmemory_store_id, MemoryStoreRetrieveParams**kwargs) -> BetaManagedAgentsMemoryStore
GET/v1/memory_stores/{memory_store_id}

Retrieve a memory store

Parameters
memory_store_id: str
betas: Optional[List[AnthropicBetaParam]]

Optional header to specify the beta version(s) you want to use.

One of the following:
str
Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 38 more]
One of the following:
"message-batches-2024-09-24"
"prompt-caching-2024-07-31"
"computer-use-2024-10-22"
"computer-use-2025-01-24"
"pdfs-2024-09-25"
"token-counting-2024-11-01"
"token-efficient-tools-2025-02-19"
"output-128k-2025-02-19"
"files-api-2025-04-14"
"mcp-client-2025-04-04"
"mcp-client-2025-11-20"
"dev-full-thinking-2025-05-14"
"interleaved-thinking-2025-05-14"
"code-execution-2025-05-22"
"extended-cache-ttl-2025-04-11"
"context-1m-2025-08-07"
"context-management-2025-06-27"
"model-context-window-exceeded-2025-08-26"
"skills-2025-10-02"
"fast-mode-2026-02-01"
"output-300k-2026-03-24"
"user-profiles-2026-03-24"
"user-profiles-2026-08-18"
"advisor-tool-2026-03-01"
"managed-agents-2026-04-01"
"cache-diagnosis-2026-04-07"
"dreaming-2026-04-21"
"thinking-token-count-2026-05-13"
"server-side-fallback-2026-06-01"
"server-side-fallback-2026-07-01"
"fallback-credit-2026-06-01"
"fallback-credit-2026-07-01"
"agent-memory-2026-07-22"
"mid-conversation-tool-changes-2026-07-01"
"compact-2026-01-12"
"computer-use-2025-11-24"
"mcp-tunnels-2026-06-22"
"structured-outputs-2025-11-13"
"task-budgets-2026-03-13"
"thinking-display-updates-2026-08-18"
"ce-user-management-2026-07-13"
Returns
class BetaManagedAgentsMemoryStore: …

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.

id: str

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.

created_at: datetime

A timestamp in RFC 3339 format

formatdate-time
name: str

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

type: Literal["memory_store"]
updated_at: datetime

A timestamp in RFC 3339 format

formatdate-time
archived_at: Optional[datetime]

A timestamp in RFC 3339 format

formatdate-time
description: Optional[str]

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: Optional[Dict[str, str]]

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.

Retrieve a memory store

import os
from anthropic import Anthropic

client = Anthropic(
    api_key=os.environ.get(
        "ANTHROPIC_API_KEY"
    ),  # This is the default and can be omitted
)
beta_managed_agents_memory_store = client.beta.memory_stores.retrieve(
    memory_store_id="memory_store_id",
)
print(beta_managed_agents_memory_store.id)
{
  "id": "id",
  "created_at": "2019-12-27T18:11:19.117Z",
  "name": "name",
  "type": "memory_store",
  "updated_at": "2019-12-27T18:11:19.117Z",
  "archived_at": "2019-12-27T18:11:19.117Z",
  "description": "description",
  "metadata": {
    "foo": "string"
  }
}
Returns Examples
{
  "id": "id",
  "created_at": "2019-12-27T18:11:19.117Z",
  "name": "name",
  "type": "memory_store",
  "updated_at": "2019-12-27T18:11:19.117Z",
  "archived_at": "2019-12-27T18:11:19.117Z",
  "description": "description",
  "metadata": {
    "foo": "string"
  }
}