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Leviathan

Orchestrates cognitive dataflow to power AI-native operating systems where large language models serve as the core runtime.

About

Leviathan is a cutting-edge research project pioneering AI-native computing, envisioning a future where large language models are the operating system's runtime. It achieves system intelligence through sophisticated cognitive dataflow orchestration, bi-directional communication, and emergent pattern discovery. The platform features a robust MCP Protocol Server for LLM communication, checkpoint-based session management, dynamic command discovery, and semantic context discovery, all underpinned by a universal router for both CLI and natural language processing. It actively explores areas like graph-based thought processing, temporal reasoning, and constitutional AI frameworks to build truly intelligent and adaptable systems.

Key Features

  • MCP Protocol Server for LLM communication and command execution
  • Cognitive Dataflow Orchestration for graph-based thought processing
  • Bi-Directional Intelligence for system-LLM collaboration
  • Checkpoint-based Session Management for state persistence
  • Plugin Architecture for ecosystem expansion
  • 0 GitHub stars

Use Cases

  • Orchestrating complex cognitive workflows for LLM-powered applications
  • Developing AI-native operating systems and intelligent agent frameworks
  • Researching emergent behavior in AI systems through bi-directional intelligence
Leviathan: AI-Native OS for LLM Runtimes & Dataflow Orchestration