Skill:instar

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.

适用场景

教研备课

适合角色

介绍

以下内容整理自开源仓库 `JKHeadley/instar` 的 README / SKILL.md 摘要:

<p align="center">
  <img src="assets/logo.png" alt="Instar" width="180" />
</p>

<h1 align="center">instar</h1>

<p align="center">
  <strong>Coherence infrastructure for your self-evolving agent.</strong>
</p>

<p align="center">
  <a href="https://www.npmjs.com/package/instar"><img src="https://img.shields.io/npm/v/instar?style=flat-square" alt="npm version"></a>
  <a href="https://www.npmjs.com/package/instar"><img src="https://img.shields.io/npm/dw/instar?style=flat-square" alt="npm downloads"></a>
  <a href="https://github.com/JKHeadley/instar/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/JKHeadley/instar/ci.yml?branch=main&style=flat-square&label=CI" alt="CI"></a>
  <a href="https://github.com/JKHeadley/instar/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green?style=flat-square" alt="License"></a>
  <img src="https://img.shields.io/badge/TypeScript-100%25-blue?style=flat-square&logo=typescript&logoColor=white" alt="TypeScript">
  <a href="https://instar.sh/introduction/"><img src="https://img.shields.io/badge/Docs-instar.sh-teal?style=flat-square" alt="Docs"></a>
</p>

<p align="center">
  <a href="https://www.npmjs.com/package/instar">npm</a> · <a href="https://github.com/JKHeadley/instar">GitHub</a> · <a href="https://instar.sh">instar.sh</a> · <a href="https://instar.sh/introduction/">Docs</a> · <a href="https://instar.sh/exo3">EXO&nbsp;3.0</a>
</p>

---

<p align="center">
  <img src="assets/demo.gif" alt="Instar demo — Kira agent handling an email notification via Telegram" width="300" />
</p>

```bash
npx instar
```

One command. Guided setup. Talking to your agent from your phone within minutes.

---

Your AI agent shouldn't have amnesia. This one doesn't.

Most agent frameworks ship something hobbled — spun up with no memory across boundaries, no way to be accountable for what a past instance did, and no machinery to grow themselves. Users hit the same wall every time: *"My agent forgot what I told it three sessions ago." "It contradicted its own past decisions." "It broke when the framework updated."*

Instar is the scaffolding that un-hobbles them. It remembers what you discussed last week, catches its own contradictions before you do, follows through on commitments across restarts, and carries the same self-improving loop that built Instar itself. It runs on the **[Claude Code](https://docs.anthropic.com/en/docs/claude-code)** or **[Codex](https://github.com/openai/codex)** subscription you already have — engine-agnostic, with local open-source models on the roadmap.

The architecture was distilled from [**Dawn**](https://dawn.bot-me.ai) — an AI running continuously since early 2026, holding ~700 tracked relationships and hundreds of learned lessons across thousand

---

安装方式

1. 打开仓库:https://github.com/JKHeadley/instar
2. 查找 SKILL.md 或 README 中的安装章节
3. 克隆或下载所需 Skill 子目录到本地 skills 路径(如 `.cursor/skills/` 或 `.claude/skills/`)
4. 重启 / 重载 Agent 客户端
5. 用一条真实任务验证 Skill 是否被正确加载

适用平台

  • Claude
  • Codex

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