Lila
Provides comprehensive psychological intelligence capabilities as a standalone Model Context Protocol (MCP) server, integrating attachment theory and Big Five traits with Neo4j.
About
Lila is a truly standalone psychological intelligence system, implemented as a Comprehensive MCP Server. It offers complete capabilities for understanding and modeling human psychology, encompassing a full PersonaAgent system, attachment theory, and Big Five personality traits. With deep Neo4j integration for graph database operations and PydanticAI-based autonomous workflows, Lila enables intelligent decision-making and strategy selection, all observable via native Logfire telemetry. This self-contained solution requires no dependencies on the main Lila codebase, making it ideal for incorporating advanced psychological modeling into AI agents and applications.
Key Features
- Neo4j integration for graph database operations with automatic connection
- Complete MCP Interface with 8 tools, 3 prompts, and 9 resources
- PydanticAI-based autonomous workflows for decision-making and strategy selection
- Comprehensive psychological modeling including PersonaAgent system, attachment theory, and Big Five traits
- 0 GitHub stars
- Logfire Telemetry for native observability and monitoring of workflows
Use Cases
- Integrating advanced psychological profiles and relationship dynamics into AI agents
- Developing AI systems capable of assessing persona compatibility and emotional climate
- Building conversational AI that can generate psychologically authentic and security-building responses
