Self-Awareness
Resonix understands its own capabilities and limitations in real-time.
Self-Cognition Engine
Resonix features autonomous self-cognition that measures capability coverage, detects blind spots, and triggers focused learning tasks.
What is Self-Cognition? Resonix can reflect on its own capabilities, identify knowledge gaps, and autonomously learn to improve.
Core Features
Gap Detection
Automatically identifies knowledge blind spots and capability gaps.
Autonomous Learning
Builds learning paths and validates knowledge before integrating.
Continuous Improvement
Learns from interactions and gets better over time.
The Learning Loop
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01
Observe
Capture tasks, outcomes, and reasoning traces from interactions.
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02
Analyze
Identify gaps between current knowledge and task requirements.
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03
Learn
Generate and execute learning plans to fill identified gaps.
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04
Validate
Test new knowledge with correction loops before promoting.
Configuration
{
"cognition": {
"enabled": true,
"autoLearn": true,
"learningSources": ["github", "arxiv", "hackernews"],
"curiosity": 0.7
}
}Checking Cognition Status
resonix cognition status
# Shows:
# - Current capabilities
# - Identified gaps
# - Active learning tasks
# - Knowledge growth metrics
Privacy-First: Learning sources and preferences are configurable. Resonix can learn only from sources you approve.