zhnt/loushang
183 stars · Last commit 2026-06-15
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.
README preview
# Loushang English | [中文](./README.zh-CN.md) Loushang is a method-native AI work system for running complex work from intent to verified delivery. Current focus: `loushang code`, a CLI and terminal workbench for software development with model routing, persistent sessions, tools, extensions, and method-guided delivery. ## Why Loushang Modern AI agents can plan and act, but complex work still breaks down when context is lost, execution cannot be resumed, tools are hard to govern, and results are not verified. Loushang treats methods, stages, roles, tools, sessions, and work products as runtime objects. The goal is not just to make agents smarter, but to make complex work more reliable, recoverable, auditable, and deliverable. ## What You Can Use Today - `loushang code`: a coding-focused CLI and terminal workbench. - `loushang.ai`: a provider-aware AI SDK with model registry, streaming, tool calls, and cost helpers. - Sessions: persistent coding sessions with resume, fork, export, and diagnostics. - Tools: built-in coding tools and configurable tool surfaces.