zhnt/loushang helps turn isolated prompts and tools into repeatable agent workflows

Описание и применение

zhnt/loushang: open-source проект в категориях Orchestration, Automation, AI/ML. Практическое применение: coordinate multi-agent workflows; add tool-use pipelines. Уровень готовности: готов для серьезного pilot с проверкой license, security и maintainer activity.

Задача

zhnt/loushang helps turn isolated prompts and tools into repeatable agent workflows.

Результат

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Рабочий процесс

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Доказательства

AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.

Источник