kweaver-core

You can manage knowledge networks and decision agents via a unified CLI that supports registration, market lookup, progressive read, package installation, and agent lifecycle operations. It provides commands for creating, publishing, and chatting with agents.

The best way to perform semantic search across a knowledge network is using a CLI that directly queries your indexed data sources. It allows you to explore schemas, retrieve relevant information, and execute actions based on the search results.

Yes, the KWeaver CLI supports trace data analysis and evidence chain construction for debugging, auditing, and governance. You can use it to trace agent dialogues and decisions to verify operational health and compliance.

Yes, you can coordinate decision agents and bind them to specific knowledge networks for QA and decision support. The CLI enables agent template management, chat interfaces, and direct binding to your structured data.

You can discover resources and check platform health by executing Vega health checks and Catalog discovery commands via the CLI. This allows you to monitor infrastructure status and locate available resources across your environment.

No, you do not need to handle Skill packages entirely separately, as the CLI supports progressive reading, downloading, and installing Skill packages directly. This streamlines the process of building and operating knowledge networks from various data sources.