Ross ROSS = Recommend OSS · open-source software intelligence for agents

zhnt/loushang

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. observed · 2026-08-28

github.com/zhnt/loushang · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

58/100

  • Activity 99
  • Release rhythm 35
  • Longevity 6

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 96
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1257 stars · 205 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Loushang is an AI-native agent harness for coding workflows, delivered as a Python CLI and terminal workbench (`loushang code`) with multi-model provider routing, persistent resumable sessions, and governed tool execution. It treats methods, sessions, tools, and extensions as runtime objects to make complex AI-driven work reliable, recoverable, and auditable.

Use cases

  • run an AI coding agent from the terminal
  • route coding tasks across GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax models
  • resume and fork long coding agent sessions
  • govern which tools an AI agent can execute
  • add project-level custom tools and hooks to an agent workflow
  • trace and audit AI-assisted delivery of code changes

When to choose

  • you want a Claude Code-style terminal coding agent with multi-provider model routing
  • you need persistent, resumable, auditable agent sessions for complex coding work
  • you want to extend an agent harness with custom Python tools and hooks
  • you prefer running an open-source coding agent locally from source

When to avoid

  • you need a production-stable tool - the project is in early development
  • you want a GUI or IDE plugin rather than a CLI/terminal workbench
  • you only need a simple single-model chatbot without session or tool governance
  • you cannot install Python tooling or run projects from source

Facets

cli-tool · maturity experimental

agent-framework llm-inference cli developer-tools workflow-automation chatbot large-language-models developer-tools python cli cross-platform windows agent-harness coding-agent model-routing multi-provider persistent-sessions tool-governance terminal-ui vibe-coding extensions ai-agents command-line automation linux macos

1 source

Member repositories

RepositoryRoleHealth v2
zhnt/loushangmain58

For agents

markdown · JSON · MCP: product_card(name="zhnt/loushang")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem