BailianLongTermMemory

Long-term memory implementation using Bailian Long Term Memory service.

This implementation integrates with Alibaba Cloud Bailian's memory service, which provides persistent, searchable memory storage using semantic similarity and LLM-powered memory extraction.

Key Features:

• Semantic memory search using vector embeddings

• LLM-powered memory extraction and inference

• Multi-tenant memory isolation (user_id, memory_library_id)

• Reactive, non-blocking operations

Usage Example:

`// Using try-with-resources (recommended)
try (BailianLongTermMemory memory = BailianLongTermMemory.builder()
.apiKey(System.getenv("DASHSCOPE_API_KEY"))
.userId("user_001")
.memoryLibraryId("memory_library_123")
.projectId(project_id_123)
.profileSchema(profile_schema_123)
.build()) {

// Record messages
Msg msg = Msg.builder()
.role(MsgRole.USER)
.content("Remind me to drink water at 9 a.m. every day")
.build();
memory.record(List.of(msg)).block();

// Retrieve memories
Msg query = Msg.builder()
.role(MsgRole.USER)
.content("What reminder do I have?")
.build();
String memories = memory.retrieve(query).block();
}
`