Three-Layer Cognition, Continuous Evolution
From knowledge to preferences to logic — layered cognitive understanding makes your agent smarter over time.
Knowledge Layer
Extract domain knowledge graphs from conversation history with automatic entity and concept linking. Supports incremental updates to retain all valuable information.
Preference Layer
Continuously learns your language style, format preferences, and communication rhythm. Full-spectrum personalization from word choice to layout style.
Logic Layer
Memorizes reasoning chains and decision patterns — understanding "why you think that way." Complex problem-solving evolves with interaction depth.
Privacy-Preserving Inference Pipeline
Raw data is sanitized on-device; only minimal inference context reaches the cloud.
Smart Context Pruning
Relevance-scored dynamic context selection, reducing token usage by 50%
Cognitive Cache
Frequently accessed knowledge cached locally for zero-latency repeated queries
Model Routing
Auto-selects optimal model based on task complexity, balancing cost and quality
Credential Security
JWT auth + local encrypted storage, API keys never transmitted in plaintext
How We Compare
| Dimension | Traditional AI Assistants | ComindX |
|---|---|---|
| Data Privacy | Cloud-stored | On-device first · sanitized transfer |
| Personalization Depth | Session-level | Continuous cognitive modeling |
| Token Efficiency | Full context window | Smart pruning · 50% reduction |
| Deployment Flexibility | SaaS dependency | Self-hosted · multi-channel |
| Model Freedom | Single vendor | LiteLLM · any model |