Dreaming is a Research Preview feature. Request access to try it.
Agents write to their memory stores as they work, but these writes are local and incremental: over many sessions a memory store accumulates duplicates, contradictions, and stale entries.
Dreams let Claude clean that up. A dream reads an existing memory store alongside past session transcripts, then produces a new, reorganized memory store: duplicates merged, stale or contradicted entries replaced with the latest value, and new insights surfaced.
The input store is never modified, so you can review the output and discard it if you don't like the result.
All Managed Agents API requests require the managed-agents-2026-04-01 beta header. Dreams additionally require the dreaming-2026-04-21 beta header. The SDK sets these automatically.
A dream is an asynchronous job that takes:
The dream produces another output memory store, separate from the input. The output store ID appears in the dream's outputs[] once it starts running.
Dreaming inputs include the pre-existing memory store and an optional array of sessions. The model selected will run the dreaming pipeline; during the research preview claude-opus-4-7 and claude-sonnet-4-6 are supported. You can also provide additional guidance on dreaming run execution in instructions.
The response is the full dream resource with status: "pending":
{
"type": "dream",
"id": "drm_01AbCDefGhIjKlMnOpQrStUv",
"status": "pending",
"inputs": [
{ "type": "memory_store", "memory_store_id": "memstore_01Hx..." },
{ "type": "sessions", "session_ids": ["sesn_01...", "sesn_02..."] }
],
"outputs": [],
"model": { "id": "claude-opus-4-7" },
"instructions": "Focus on coding-style preferences; ignore one-off debugging notes.",
"session_id": null,
"created_at": "2026-04-29T17:04:10Z",
"ended_at": null,
"archived_at": null,
"usage": {
"input_tokens": 0,
"output_tokens": 0,
"cache_creation_input_tokens": 0,
"cache_read_input_tokens": 0
},
"error": null
}If you only have session transcripts and no existing store, create an empty memory store first and pass it as the memory_store input.
Dreams run asynchronously and typically take minutes to tens of minutes depending on input size. Poll the dream by ID to check status:
status | Meaning |
|---|---|
pending | Dream successfully created and queued. |
running | The pipeline is processing. usage updates as work progresses. |
completed | Finished successfully. The outputs[] value is the new memory store. |
failed | Dreaming run terminated with an error. The output memory store is left as-is with whatever was written before failure. |
canceled | Dreaming run canceled. The output memory store is left as-is. |
Once a dream is running, its session_id field points at the underlying session executing the pipeline. You can stream that session's events to observe what the dream is reading and writing in real time. The session is archived (not deleted) when the dream reaches a terminal state, so the transcript remains available afterward.
When status reaches completed, the memory_store entry in outputs[] references a fully populated store. It's an ordinary memory store in your workspace. Review it with the Memory Stores API or in the Console, then either:
memory_store resource in place of (or alongside) the input memory store, orThe dream itself never deletes or modifies its inputs. On failed or canceled the output store persists with partial contents so you can inspect what was produced before stopping; clean it up via the Memory Stores API if you don't need it.
While a dream is pending or running, archiving or deleting its output store is rejected with a 400. Archiving or deleting an input store or session mid-run will cause the dream to fail with input_memory_store_unavailable or input_session_unavailable.
Cancel moves a pending or running dream to canceled immediately. Canceling an already-canceled dream is an idempotent no-op; canceling a completed or failed dream returns 400.
Archive sets archived_at on a dream that has reached a terminal state (completed, failed, or canceled); status is left unchanged. Archived dreams are excluded from default list responses but remain readable by ID. Archiving an already-archived dream is an idempotent no-op. Archiving a pending or running dream returns 400; cancel it first. There is no unarchive.
Archiving a dream does not touch its output memory store; manage that separately via the Memory Stores API.
Returns all non-archived dreams in the workspace, newest first. Use limit (default 20, max 100) and the page cursor to paginate. Pass include_archived=true to include archived dreams.
A non-exhaustive list of possible dreaming errors is below.
error.type | When |
|---|---|
timeout | The pipeline exceeded its runtime budget. |
internal_error | Unclassified pipeline failure. |
memory_store_org_limit_exceeded | Your organization hit its memory-store cap while the pipeline was provisioning working storage. |
input_memory_store_too_large | The input memory store exceeds the pipeline's size limit. |
input_memory_store_unavailable | The input memory store was archived or deleted after the dream was created. |
input_session_unavailable | An input session was archived or deleted after the dream was created. |
Dreams are billed at standard API token rates for the model you select; usage on the resource reports the exact totals. Cost scales roughly linearly with the number and length of input sessions. Start with a small batch of sessions and scale up once you're satisfied with the curation quality.
| Limit | Value |
|---|---|
| Sessions per dream | 100 |
instructions length | 4,096 characters |
| Supported models | claude-opus-4-7, claude-sonnet-4-6 |
Default rate limits apply to dream creation while this feature is in beta. Contact support if you need higher limits.
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dream = client.beta.dreams.create(
inputs=[
{"type": "memory_store", "memory_store_id": store_id},
{"type": "sessions", "session_ids": [session_a, session_b]},
],
model="claude-opus-4-7",
instructions="Focus on coding-style preferences; ignore one-off debugging notes.",
)
print(dream.id) # drm_01...while dream.status in ("pending", "running"):
time.sleep(10)
dream = client.beta.dreams.retrieve(dream.id)
print(f"status={dream.status} input_tokens={dream.usage.input_tokens}")# After the dream ends, the output holds the rebuilt memory store
output_store_id = next(
output.memory_store_id for output in dream.outputs if output.type == "memory_store"
)
session = client.beta.sessions.create(
agent=agent_id,
environment_id=environment_id,
resources=[
{"type": "memory_store", "memory_store_id": output_store_id},
],
)client.beta.dreams.cancel(dream.id)client.beta.dreams.archive(dream.id)for listed_dream in client.beta.dreams.list(limit=20):
print(listed_dream.id, listed_dream.status)