Learning agent active
AI that deeply learns any topic
Autonomous agents that accumulate knowledge over time. Each learning cycle goes deeper. Ask questions against what it knows. Watch it get smarter.
prolifera-agent
$ prolifera learn "quantum computing"
Session #1 starting...
Focus: Fundamentals and core concepts
Extracting knowledge...
+12 facts extracted across 4 categories
$ prolifera learn "quantum computing"
Session #2 starting...
Focus: Quantum error correction techniques
+10 facts extracted — going deeper
$ prolifera ask "What is quantum supremacy?"
Based on 22 accumulated facts:
Quantum supremacy is when a quantum computer solves a
problem no classical computer can solve in feasible time...
How the learning loop works
Each cycle makes the agent more knowledgeable
1
Pick a topic
Create a niche topic. The agent starts by learning fundamentals — core concepts, key players, foundational principles.
2
Agent learns
Each learning cycle identifies unexplored areas, then generates deep expert-level knowledge. Facts are extracted and stored with confidence scores.
3
Query & ask
Browse accumulated facts by category. Ask questions and get answers grounded in what the agent has actually learned — with source tracking.
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Active Topics
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Facts Learned
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Learning Sessions
Try it now
Create a topic and watch the agent learn