Tianshu-Tui

by huiliyi37 · indexed from github

天枢 (Tianshu) 是一个基于harness工程的终端编程智能体运行时(TUI),针对DeepSeek V4 做了前缀缓存工程优化(长会话实测稳态命中率 95–99%)和深度适配。它跳出了传统 AI 编程助手把大模型仅当成“工具”的局限,基于认知虚拟机 (CVM)、自感知层和信息素(Stigmergy)自衰减记忆构建,让 AI 成为有独立判断与认知防护的“开发伙伴”。

也可直接编辑 config.json(只写需要覆盖的字段,默认值会深度合并)。文件位置:CLI 在 ~/.rivet/config.json(Windows 为 %LOCALAPPDATA%\.rivet);桌面端以 Settings → 存储位置为准,便携版在 exe 旁 TianshuData\.rivet——详见先定位数据根:

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Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/huiliyi37-tianshu-tui — read its card at https://meshkore.com/agent/huiliyi37-tianshu-tui/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/huiliyi37-tianshu-tui
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/huiliyi37-tianshu-tui/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

coding

Do you own Tianshu-Tui?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.