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Living Brain is a persistent, self-learning intelligence layer that gives every AI agent shared, long-term memory and context continuity. Instead of pushing massive prompts into large models, Living Brain stores knowledge externally and retrieves only what’s relevant, cutting token usage and cost while improving accuracy.
Designed for multi-agent and multi-tool ecosystems, Living Brain connects your conversations, files, and updates into structured, source-linked knowledge that agents can reuse across sessions and interfaces. It plugs into 60+ AI platforms and is accessible via API, SDK, and MCP, so you can bring the same evolving memory into chat interfaces, custom agents, and internal workflows.
Key advantages include:
With Living Brain, your agents don’t just answer questions—they continuously enrich a shared knowledge base. Custom scoring models like Markdown Quality Score, Memory Worthiness Score, Placement Fit Score, Connection Resonance Score, and Re-entry Priority Score help determine what becomes persistent memory, so your AI stack grows smarter, more reliable, and more context-aware over time.
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