Goodmem:java

You have access to the GoodMem Java SDK. Use it to write Java code that accomplishes the user's request.

See [reference.md](reference.md) for install instructions, common request builders, streaming, pagination, async usage, typed IDs, and end-to-end snippets.

Key principles:

• Use Goodmem.builder().baseUrl(...).apiKey(...).build() and prefer try-with-resources.
• Use AsyncGoodmem when the user asks for async code; async methods return CompletableFuture.
• Import request/response records from ai.pairsys.goodmem.client.models.
• Use request builders for creates and updates, for example EmbedderCreationRequest.builder()...build().
• For SaaS providers, pass the provider API key to create calls, for example client.embedders.create(request, openaiApiKey).
• Use modelIdentifier(...) for embedders, LLMs, and rerankers; the SDK auto-infers provider details.
• Preserve typed handles such as SpaceId, MemoryId, EmbedderId, LlmId, and RerankerId.
• Create spaces with List.of(new SpaceEmbedderConfig(embedderId, null)).
• Iterate paginated results directly with Page or AsyncPage; list option maxResults takes an integer page size.
• Use try-with-resources for streaming types such as RetrieveMemoryStream and PingStream.
• Use the file-upload convenience client.memories.create(spaceId, Path.of(...)) instead of manual base64 encoding.
• Compare typed enums directly, for example status == MemoryProcessingStatus.COMPLETED.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: PAIR-Systems-Inc
• Source: PAIR-Systems-Inc/goodmem-claude-code-plugin
• License: MIT

Install and usage instructions live in the source repository linked above.