CognitiveLattice is a sophisticated AI agent framework that combines intelligent tool orchestration, persistent memory, and context-aware processing to create truly adaptive and capable AI assistants.
Rather than being just another LLM wrapper, CognitiveLattice implements a cognitive architecture that enables AI agents to:
- Remember where they've been, what they're doing, and where they're going
- Intelligently select and coordinate tools based on context
- Execute autonomous web automation with intelligent planning
- Maintain persistent session memory across interactions
- Process documents with enhanced RAG (Retrieval-Augmented Generation)
- Execute complex multi-step tasks with adaptive planning
Watch the CognitiveLattice agent in action. This is not a scripted demo. It's a live demonstration of the Cognitive Lattice enabling a series of stateless API calls to be chained into a single, successful, multi-step task. The agent's ability to select the right tool and recall its own actions is entirely dynamic.
- Hybrid State Management: Active task tracking + comprehensive event logging
- Cross-Session Persistence: Session files can be loaded/resumed (user-selectable lattice loading coming soon)
- Dynamic Context Extraction: Automatically builds relevant context from session history
- Task Progress Tracking: Monitors multi-step task completion with step-by-step state
- Model-Agnostic Memory: Lattice data works with any LLM - switch models without losing context
- LLM-Driven Tool Selection: Uses AI reasoning to choose appropriate tools
- Generic Tool Architecture: Works with any tool, not hardcoded for specific domains
- Contextual Parameter Extraction: Automatically extracts tool parameters from conversation
- Tool Result Integration: Seamlessly integrates tool outputs into conversations
- Multi-Step Planning: Creates and executes complex task plans
- Adaptive Step Management: Handles user input at any step, allows backtracking
- Task Lock System: Maintains focus during active task execution
- Progress Summarization: Provides comprehensive "what have we done so far" summaries
- Intelligent Planning: Creates step-by-step plans for complex web tasks before execution
- Cognitive Lattice Awareness: Avoids redundant steps by remembering previous actions
- Smart Element Detection: Advanced DOM processing with context-aware element ranking
- Auto-Enter Functionality: Follows web standards (type in search fields, then press Enter)
- Single-Step Execution: Precise step-by-step progression without infinite loops
- Debug Transparency: Complete prompt/response logging for troubleshooting
- Unified Architecture: Same cognitive lattice system as stepwise tasks
- Enhanced RAG System: Sophisticated document analysis with external AI enhancement
- Multi-Format Support: Handles various document types and structures
- Semantic Search: Intelligent document querying with context awareness
- Session-Based RAG Storage: Avoids JSON serialization issues with in-memory management
- OpenAI Integration: Leverages GPT models for enhanced reasoning
- Modular API Client: Easy to extend with other AI services
- Error Handling & Fallbacks: Graceful degradation when external services unavailable
- Token-Conscious Processing: Optimizes token usage while maintaining capability
- Document Airgapping: Process documents locally without exposing content to external LLMs
- Encryption-Ready: Built-in encoding/decoding system supports encrypted document transmission
- Lattice Confidentiality: Session data can be encrypted before storage (implementation pending)
- Model Independence: Switch between LLMs without exposing previous reasoning or context
- Future-Proof Privacy: Maintains user confidentiality as AI models evolve