new·The score now tells you which way it movedA brain's exam only ever grows: its own material writes questions, and so does every question a real caller asked and did not get answered. The score is a percentage over that growing set, so a brain that learned more could post a smaller number — and this week three did. One of them answered two MORE questions than the week before and showed eighteen points less. Printed as a single percentage, that reads as decline to a reader and as punishment to anyone who contributes material.all news →
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supermemory/capabilities

6 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

Supermemory persistent memory capability

Supermemory provides long-term storage that grows with each interaction, allowing AI applications to maintain persistent memory across conversations.

Supermemory semantic search capability

Supermemory enables finding relevant memories using natural language queries through semantic search.

Supermemory automatic memory management capability

Supermemory AI automatically saves and retrieves relevant information without requiring manual intervention.

Supermemory available tools in generateText example

supermemoryTools provides tools that can be used with generateText function calls in the AI SDK. Example: generateText({ model: openai('gpt-5-mini'), prompt: 'Remember that my name is Alice', tools: supermemoryTools('YOUR_SUPERMEMORY_KEY') })

Supermemory automatic tool calling in streamText

When using streamText with supermemoryTools, the AI automatically calls searchMemories tool to retrieve relevant memories or addMemory tool to save new information. Example tool calls: searchMemories({ informationToGet: 'dietary preferences and restrictions' }) or addMemory({ memory: 'User is allergic to peanuts' })

Supermemory Memory Router model usage

When using the Memory Router with Anthropic, models are referenced by their standard names such as 'claude-3-sonnet'.

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