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adds withSupermemory wrapper and input/output processors for
mastra agents:
- input processor fetches and injects memories into system prompt
before llm calls
- output processor saves conversations to supermemory after
responses
- supports profile, query, and full memory search modes
- includes custom prompt templates and requestcontext support
const agent = new Agent(withSupermemory(
{ id: "my-assistant", model: openai("gpt-4o"), instructions:
"..." },
"user-123",
{ mode: "full", addMemory: "always", threadId: "conv-456" }
))
includes docs as well
this pr also reworks how the tools package works into shared modules
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|---|---|---|
| .. | ||
| ai-sdk | ||
| docs-test | ||
| hooks | ||
| lib | ||
| memory-graph | ||
| openai-sdk-python | ||
| pipecat-sdk-python | ||
| tools | ||
| ui | ||
| validation | ||