ATLAS is a task management system for LLM agents featuring a three-layer architecture of projects, tasks, and knowledge. It leverages Neo4j graph database to provide sophisticated workflow management and deep research capabilities.
Three-layer node architecture for unified project, task, and knowledge management
Complex workflow management using Neo4j graph database
Deep research capabilities tailored for LLM agents
Automatic tracking of task dependencies and related knowledge
Efficient information retrieval through graph-based queries
Use Cases
Multi-step research projects — Manage complex research workflows with interconnected tasks and reference materials in a unified system.
Automated task execution by LLM agents — Enable LLM agents to automatically decompose and execute tasks while maintaining context and tracking dependencies.
Knowledge base construction and retrieval — Build and maintain a graph-structured knowledge base from project insights for reuse across tasks.
Complex workflow orchestration — Manage sophisticated workflows with branching logic and parallel execution through graph structure.