zhnt/loushang
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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.
About
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.
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.
Method is the work…
Excerpted from github.com/zhnt/loushang
Latest metrics
| Stars | 681 | 2026-07-16 |
|---|---|---|
| Forks | 123 | 2026-07-16 |
| Commits | 1.0k | 2026-07-16 |
| Releases | 0 | 2026-07-16 |
| Watchers | 89 | 2026-07-16 |
| Open issues | 22 | 2026-07-16 |
| Open PRs | 1 | 2026-07-16 |