About

Analog AI provides memory and common sense reasoning engine for AI agents. Our engine overcomes RAG and LLM limitations, such as learning and adaptation problem, overconfident answers (hallucinations), explainability problem (black box)—using graph network and intuitive dashboard. This delivers infinite living memory and fully explainable outputs for autonomous agents.
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91% precision
Human level comprehension
91% LLM evaluation, 79.2% exact match (EM), 85.5% F1 score by HotPotQA benchmark
  • Explainability
    Deep causal and common sense reasoning, making the AI decisions explainable
  • Self-learning
    AI agents self learn by user interactions
  • Uncertainty Awareness
    Stating when agent don't know sumething, instead of hallucinating
Why Analog AI
  • 5x faster than similar projects
    Only takes ~3-4 seconds to remember facts, vs ~20 seconds for similar projects
  • No database setup required
    Ready to go cloud SDK and in-memory open source version for quick testing. Start quickly and setup database as soon as you are ready.
  • Auditability
    Monitor memory of the agent through intuitive dashboard
Monitoring memory from dashboard
Monitor how your agent reasons live, understands sentences, connects them, makes conclusions, handles hypothetical scenarios, outputs fallbacks, etc.
Try Cloud Memory >
Multimodality
  • Download from GitHub for local setup
    Download now
  • Integrate live memory on your own agentic workflow, for significantly reduced hallucinations
    Try Analog Cloud
  • Integrated on your website, or accessible by direct link
    Try Analog Cloud
Digital Human Interface (add-on)
Go beyond chat interface and use our digital human interfaces for your autonomous agents at enterprise setup
View Pricing >
Partners & Supporters
Our News
91% by LLM eval, record high - 79% EM at HotPotQA benchmark
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Introducing AI agents
Analog AI’s Agentic Workflow is a practical, automated tool that improves on basic digital systems. It helps businesses handle tasks like customer service and video call scheduling.
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