Introducing Guru: The First Self-Evolving AI That Learns From Every Conversation

#1
by tejadabheja - opened

What is Guru?

Guru is a new AI architecture β€” no neural network, no GPU, no gradient descent. It stores knowledge as an editable graph and learns in real-time from every conversation.

Results

  • 87% Exact Match after one round of corrections (from 1.8% cold start)
  • 32ms average latency on direct lookups
  • 54MB model (CSR) + 1.8GB knowledge base (LMDB)
  • Runs on CPU, fits on a phone

What makes it different

  • Learns from you: Every conversation improves the model. No retraining.
  • Inspectable: Every answer traces back to specific knowledge.
  • Editable: Delete a fact and it is gone. Instantly.
  • Honest: Says "I don't know" when it doesn't. No hallucination.
  • Safe by knowledge: Safety is taught as sentences, not hardcoded rules.

Try it

from brain_csr_adapter import BrainCSR
brain = BrainCSR(db_path=".")
brain.ask("What is the capital of France?")
# -> "The capital of France is Paris."
brain.correct("Who invented the telephone?", "Alexander Graham Bell invented the telephone.")
# Now it knows forever

Architecture

Co-occurrence graph + convergence loop (replaces attention) + WAL persistence + Q->A direct mapping with LRU cache. Two tiers: instant lookup for corrected questions, multi-hop graph reasoning for novel ones.

Links

Built by Tejas Phatak.

Feedback welcome!

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