aws / aws/bedrock-agentcore-sdk-python
Port AgentCoreMemoryStore (MemoryStore interface) from TypeScript SDK to Python
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Beschreibung
### Problem Statement
The TypeScript `bedrock-agentcore` SDK (v0.4.1+) ships an `AgentCoreMemoryStore` that implements the Strands `MemoryStore` interface, enabling AgentCore Memory to plug into the `MemoryManager` pipeline with recall (search tool), injection (automatic prompt augmentation), and server-side extraction. It is documented on the Strands integrations page: https://strandsagents.com/docs/integrations/memory-stores/agentcore-memory-store/
The Python `bedrock-agentcore` SDK currently only integrates AgentCore Memory as a session manager (`AgentCoreMemorySessionManager`). There is no `MemoryStore` implementation, so Python developers cannot use AgentCore Memory with `MemoryManager`.
### Proposed Solution
Port the `AgentCoreMemoryStore` from the TypeScript SDK to Python. The integration lives at `bedrock-agentcore/memory/integrations/strands/` in the TS package and maps:
- `search` to AgentCore's `retrieveMemoryRecords`
- `add_messages` to conversation ingestion for server-side extraction
- Per-namespace store creation via a `create_agentcore_memory_stores` factory
Target usage:
```python
from strands import Agent
from strands.memory import MemoryManager
from bedrock_agentcore.memory.integrations.strands.memory_store import (
AgentCoreMemoryStore,
create_agentcore_memory_stores,
)
stores = create_agentcore_memory_stores(
memory_id="mem-abc",
actor_id="user-123",
session_id="session-1",
namespaces=[
{"namespace": "/facts/{actorId}", "writable": True},
{"namespace": "/preferences/{actorId}"},
],
extraction=True,
)
agent = Agent(memory_manager=MemoryManager(stores=stores))
```
### Use Case
Python agents that want to use AgentCore Memory as a long-term memory backend through the standard `MemoryManager` pipeline, with injection, recall tools, and extraction.
### Additional Context
- TypeScript implementation: https://github.com/aws/bedrock-agentcore-sdk-typescript/tree/main/src/memory/integrations/strands
- Strands integration page (TS only): https://strandsagents.com/docs/integrations/memory-stores/agentcore-memory-store/
- The existing Python `AgentCoreMemorySessionManager` would remain for session persistence use cases. The `MemoryStore` is complementary.
Beitragsleitfaden
Rechercherichtung
Beginne damit, die TypeScript-Implementierung unter bedrock-agentcore/memory/integrations/strands zu lesen und sie mit dem Python AgentCoreMemorySessionManager zu vergleichen. Füge die in diesem Issue beschriebenen Python memory_store.py-Einstiegspunkte und die Factory hinzu und ordne search und add_messages AgentCore Memory zu. Als abgeschlossen gilt die Arbeit, wenn Python-Benutzer die erstellten Stores für Recall, Injection und Extraction an Strands MemoryManager übergeben können.
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Bewertung
- Tech-Stack
- aws, python, typescript
- Bereich
- ai, backend
- Issue-Typ
- Feature
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Aktivitätsstatus
- Aktiv
- Klarheit
- Größtenteils klar
- Anfängerfreundlichkeit
- 58/100