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A stateful AI agent framework powered by the Cognitive Lattice to solve complex tasks with persistent memory and reliable tool orchestration.

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🧠 CognitiveLattice: Intelligent AI Agent Framework

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

🎬 Live Demo

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. CognitiveLattice1


🌟 Key Features

🧠 Cognitive Lattice - Persistent Memory & Session Management

  • 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

🔧 Intelligent Tool Management

  • 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

📋 Structured Task Execution (Production Ready)

  • 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

🌐 Autonomous Web Automation (Beta - Active Development)

  • 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

📄 Advanced Document Processing (Architecture Complete - Reconnection Needed)

  • 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

🌐 External API Integration

  • 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

🔒 Privacy & Security Architecture (Airgap Design)

  • 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