π 2025-04-28 β Session: Architected Terra AI System and Registry Automation
π 19:05β19:50
π·οΈ Labels: Ai Architecture, Automation, Documentation, Registry, Terra
π Project: Dev
β Priority: MEDIUM
Session Goal:
The session aimed to design and implement key components of the Terra AI system, focusing on shared context architecture, system documentation, and automation tools.
Key Activities:
- Shared Context Architecture: Explored three models for managing shared context among AI agents, including Global Memory Store, Mission-Centric Context Packages, and Active Context Negotiation.
- Terra AI System Architecture: Detailed the architecture using Global Memory Store and Mission-Centric Push Pack to support AI agents.
- Living Ecosystem Design: Developed a vision for a collaborative environment for knowledge sharing between humans and AI agents.
- Terra Documentation: Drafted key documents such as a vision statement and a style guide for the Terra project.
- Foundational Info Directory: Conceptualized a creative and engaging foundational directory for Terraβs world-building aspect.
- Registry Automation: Designed a living data registry with Docusaurus integration and implemented a registry crawler script.
- JSON for Agent Registry: Transitioned from YAML to JSON for agent registries, providing a Python code example.
Achievements:
- Completed the architectural design for Terra AI system and its documentation.
- Implemented a registry crawler script and established a JSON-based agent registry.
Pending Tasks:
- Further testing and refinement of the registry crawler and JSON integration.
- Finalization of the foundational directory names and structure for Terraβs world-building.