statewave 0.7.1

Official Python SDK for Statewave — the open-source memory runtime for AI agents.

Statewave Python SDK

Statewave Python SDK — memory runtime for AI agents and applications. The TypeScript SDK lives at @statewavedev/sdk.

Part of the Statewave ecosystem: Server · Python SDK · TypeScript SDK · Connectors · Docs · Examples · Website + demo · Admin

📋 Issues & feature requests: statewave/issues (centralized tracker)

Install

pip install statewave

Quick start

from statewave import StatewaveClient

# Basic (no auth)
with StatewaveClient("http://localhost:8100") as sw:
    ...

# With authentication and tenant
with StatewaveClient(
    "http://localhost:8100",
    api_key="your-key",
    tenant_id="acme",
) as sw:
    # Record an episode
    sw.create_episode(
        subject_id="user-42",
        source="support-chat",
        type="conversation",
        payload={
            "messages": [
                {"role": "user", "content": "My name is Alice and I work at Globex."},
                {"role": "assistant", "content": "Welcome Alice!"},
            ]
        },
    )

    # Compile memories (idempotent)
    result = sw.compile_memories("user-42")
    print(f"Created {result.memories_created} memories")

    # Retrieve ranked, token-bounded context
    ctx = sw.get_context("user-42", task="Help with billing", max_tokens=300)
    print(ctx.assembled_context)

    # Batch ingestion (up to 100)
    sw.create_episodes_batch([
        {"subject_id": "user-42", "source": "crm", "type": "note", "payload": {"text": "Prefers email"}},
        {"subject_id": "user-42", "source": "crm", "type": "note", "payload": {"text": "Enterprise plan"}},
    ])

    # Search memories by kind
    facts = sw.search_memories("user-42", kind="profile_fact")
    for m in facts.memories:
        print(f"  [{m.kind}] {m.content}")

    # Semantic search (requires embeddings)
    results = sw.search_memories("user-42", query="billing", semantic=True)

    # List all known subjects
    subjects = sw.list_subjects()
    for s in subjects.subjects:
        print(f"  {s.subject_id}: {s.episode_count} episodes, {s.memory_count} memories")

    # Get timeline
    timeline = sw.get_timeline("user-42")
    print(f"{len(timeline.episodes)} episodes, {len(timeline.memories)} memories")

    # Delete all subject data
    sw.delete_subject("user-42")

Async client

from statewave import AsyncStatewaveClient

async with AsyncStatewaveClient("http://localhost:8100") as sw:
    ctx = await sw.get_context("user-42", task="Help with billing")
    print(ctx.assembled_context)

Error handling

from statewave import StatewaveClient, StatewaveAPIError, StatewaveConnectionError

try:
    sw = StatewaveClient("http://localhost:8100")
    sw.compile_memories("user-42")
except StatewaveAPIError as e:
    print(f"API error [{e.status_code}]: {e.code} — {e.message}")
    print(f"Request ID: {e.request_id}")
except StatewaveConnectionError:
    print("Cannot connect to Statewave server")

Where does data go?

The SDK is a thin client over the Statewave HTTP API. What leaves the network is determined by the server's compiler and embedding configuration, not by the SDK:

• Default deployment (heuristic compiler, no embeddings) — nothing leaves your infrastructure.
• LLM compiler or hosted embeddings — the server sends content to the provider you configure.

See Privacy & Data Flow for the full breakdown.

Models

All response types are Pydantic models with full type hints:

• Episode — raw interaction record
• Memory — compiled memory with provenance
• CompileResult — compilation response
• SearchResult — search response
• ContextBundle — assembled context with facts, episodes, provenance
• Timeline — chronological subject history
• DeleteResult — deletion confirmation
• BatchCreateResult — batch ingestion response
• SubjectSummary — subject with episode/memory counts
• ListSubjectsResult — paginated subject listing

Running tests

pip install -e ".[dev]"
pytest tests/ -v

License

Apache-2.0