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
