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

imhuso/cunzhi

告别AI提前终止烦恼,助力AI更加持久 observed · 2026-08-28

github.com/imhuso/cunzhi · Rust · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

63/100

  • Activity 82
  • Release rhythm 56
  • Longevity 33
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 466
  • days_rel: 299
  • days_push: 113
  • n_releases_24m: 26

Full methodology

Adoption not part of the score

1402 stars · 164 forks observed · 2026-08-28

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

Cunzhi (寸止) is an MCP tool that intercepts AI assistants when they try to end a conversation prematurely, popping up a dialog so users can continue interacting. It also provides per-project memory management for development preferences and semantic code search, built in Rust with Tauri.

Use cases

  • stop my AI assistant from ending conversations too early
  • add a continue-dialog popup to Claude Desktop via MCP
  • store project-specific coding preferences my AI can recall
  • give my AI coding assistant semantic codebase search
  • manage prompts and memory for MCP clients

When to choose

  • you use MCP clients like Claude Desktop and find the AI wraps up conversations prematurely
  • you want per-project memory of dev conventions plus quick popup interaction
  • you want a fast cross-platform install via Homebrew or release binaries

When to avoid

  • you don't use MCP-compatible AI clients
  • you need a fully headless/automated pipeline with no interactive popups
  • you only need plain prompt engineering without tooling

Facets

cli-tool · maturity active

mcp chatbot developer-tools gui developer-tools large-language-models windows cross-platform rust mcp-server ai-conversation prompt-engineering tauri memory-management ai-agents macos linux

1 source

Member repositories

RepositoryRoleHealth v2
imhuso/cunzhimain63

For agents

markdown · JSON · MCP: product_card(name="imhuso/cunzhi")

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