Built for reasoning under real-world complexity
Open Synaps combines causal cognition, adaptive memory, and autonomous planning into a compact engine designed to learn from first principles, stay legible, and operate beyond brittle prompt chains.
Core runtime
Capability Mesh
Coordinated cognition with observable state transitions.
Cognitive Reasoning
01Multi-step causal inference, belief revision, and disciplined hypothesis testing for ambiguous environments.
Adaptive Memory
02Multi-tier memory substrate spanning working, episodic, and procedural layers with controlled consolidation.
Autonomous Planning
03Hierarchical goal decomposition with advanced scoring to surface tractable, testable execution paths.
World Modeling
04Causal graph construction, drift detection, and counterfactual simulation for grounded decision support.
Four engine layers coordinating every high-stakes inference.
Each subsystem is specialized, inspectable, and composable so operators can understand how cognition, memory, planning, and model-building reinforce one another.
Cognitive Reasoning
Multi-step causal inference, belief revision, and disciplined hypothesis testing for ambiguous environments.
Learn moreAdaptive Memory
Multi-tier memory substrate spanning working, episodic, and procedural layers with controlled consolidation.
Learn moreAutonomous Planning
Hierarchical goal decomposition with advanced scoring to surface tractable, testable execution paths.
Learn moreWorld Modeling
Causal graph construction, drift detection, and counterfactual simulation for grounded decision support.
Learn moreProduction-ready behaviors at the systems layer.
Modular behaviors can be surfaced independently, audited per task, and deployed where latency, safety, and autonomy requirements differ.
Cold-Start Learning
Self-Improvement
Safety Filters
Theory of Mind
Emotional Modulation
Novelty Detection
Multi-Session
Edge Deployment
0
Pretraining steps
Cold-start from first prompt
<1ms
Inference latency
CPU-native engine
1.00
Novelty precision
Measured precision / recall
∞
Improvement loops
Continuous adaptation cycles