Claude Platform Docs

Create a memory

beta.memory_stores.memories.create(memory_store_id, **kwargs) -> BetaManagedAgentsMemory
POST/v1/memory_stores/{memory_store_id}/memories

Create a memory

Parameters
memory_store_id: str
content: Optional[str]

UTF-8 text content for the new memory. Maximum 100 kB (102,400 bytes). Required; pass "" explicitly to create an empty memory.

path: str

Hierarchical path for the new memory, e.g. /projects/foo/notes.md. Must start with /, contain at least one non-empty segment, and be at most 1,024 bytes. Must not contain empty segments, . or .. segments, control or format characters, or the Unicode line and paragraph separators (U+2028, U+2029), and must be NFC-normalized. Paths are case-sensitive.

minLength2
maxLength1024
view: Optional[BetaManagedAgentsMemoryView]

Query parameter for view

One of the following:
"basic"
"full"
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", 43 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"
"user-profiles-2026-09-04"
"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"
"mid-conversation-output-config-2026-07-01"
"thinking-binding-controls-2026-08-01"
"mid-conversation-system-clear-at-2026-08-21"
"compact-2026-09-04"
workspace_id: Optional[str]
Returns
class BetaManagedAgentsMemory: type: "memory"; id; content_sha256; ... # 7 more

A memory object: a single text document at a hierarchical path inside a memory store. The content field is populated when view=full and null when view=basic; the content_size_bytes and content_sha256 fields are always populated so sync clients can diff without fetching content. Memories are addressed by their mem_... ID; the path is the create key and can be changed via update.

Create a memory
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 = client.beta.memory_stores.memories.create(
    memory_store_id="memory_store_id",
    content="content",
    path="xx",
)
print(beta_managed_agents_memory.id)
Returns Examples
Response 200
{
  "id": "id",
  "content_sha256": "content_sha256",
  "content_size_bytes": 0,
  "created_at": "2019-12-27T18:11:19.117Z",
  "memory_store_id": "memory_store_id",
  "memory_version_id": "memory_version_id",
  "path": "path",
  "type": "memory",
  "updated_at": "2019-12-27T18:11:19.117Z",
  "content": "content"
}