AgentRun: DSL to turn agents into workflows 是一个「workflow」类 AI agent,解决:用简单DSL把AI代理编排成稳定可重复的工作流。定价:产品页未标明。截至 2026-10-27,KanonAgent 记录到 51 票。本站首次收录于 2026-09-23。
用DSL将AI代理转为可执行工作流的工具，简化agent开发流程。
51 票
Kanon 于 2026 年 9 月 23 日 收录
状态依据:npm_downloads_7d momentum fell to -1367 per 3d from 116 (<= 40% of the prior window)
📈 时间线什么时候变了什么
- 降温 npm_downloads_7d momentum fell to -1367 per 3d from 116 (<= 40% of the prior window)
- 加速 npm_downloads_7d gained 116 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- 降温 npm_downloads_7d momentum fell to 116 per 3d from 646 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to 0 per 3d from 646 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to 0 per 3d from 529 (<= 40% of the prior window)
- 加速 npm_downloads_7d gained 529 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- 降温 npm_downloads_7d momentum fell to -117 per 3d from 148 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to -20 per 3d from 105 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to -7 per 3d from 92 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to -155 per 3d from 92 (<= 40% of the prior window)
- 加速 npm_downloads_7d gained 105 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- 异常 daily change 275.0 is 5.5 standard deviations from this entity's own prior mean (-19.2±53.1, baseline excludes this point) — unusual, not necessarily adoption
- 加速 npm_downloads_7d gained 92 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- 降温 npm_downloads_7d momentum fell to -183 per 3d from 87 (<= 40% of the prior window)
- 异常 daily change 275.0 is 5.5 standard deviations from this entity's own prior mean (-19.2±53.1, baseline excludes this point) — unusual, not necessarily adoption
- 降温 hn_points momentum fell to 0 per 3d from 13 (<= 40% of the prior window)
- 降温 hn_points momentum fell to 2 per 3d from 41 (<= 40% of the prior window)
- 首次观测 Kanon 开始为它保留永久历史
🔎 已知 / 未知
23 个字段里 14 个未知
| 可机器调用 | — | 未知 | — |
| 开源 | 1 | 推断 | 1 条引文 |
| 可自托管 | 1 | 推断 | 1 条引文 |
| 需自带 key | — | 未知 | — |
| 自主度 | — | 未知 | — |
| 计费模式 | — | 未知 | — |
| 集成面 | — | 未知 | — |
「未知」= 我们没核实过,**不等于「否」**。硬性筛选永远不会把未知当成否。
🤖 Agent 拆解 · workflow
解决什么场景用简单DSL把AI代理编排成稳定可重复的工作流
目标市场开发者
前置条件开源 · 可自托管
牵引 · 为什么在涨PH票数9
为什么值得关注
提供DSL抽象层，让agent从实验转为生产级工作流，实用性强。
证据引文判定所依据的原文 · 逐字引用
“public GitHub repository (README fetched)”— structural
“npm install @parcha/agentrun-dsl@beta”— readme
“Define repeatable steps, use [Jev] for focused decisions”— readme
信号来源: Show HN
访问官网 →
📛 官方徽章挂到官网 / README
你是 AgentRun 的作者?上面选样式,嵌入代码实时更新;要贴合站点配色可在 URL 上加 bg= / fg= / accent=(十六进制色)。徽章链回本页。
手机端点「分享」直达微信/朋友圈/小红书;桌面端用「复制文案」后到 App 内粘贴发布
常见问题
AgentRun 是什么?
用DSL将AI代理转为可执行工作流的工具，简化agent开发流程。
AgentRun 解决什么问题?
用简单DSL把AI代理编排成稳定可重复的工作流
AgentRun 为什么值得关注?
提供DSL抽象层，让agent从实验转为生产级工作流，实用性强。
AgentRun 是开源的吗?
是。AgentRun 为开源项目。
AgentRun 能自托管吗?
可以。AgentRun 支持自托管部署。
AgentRun 有多少人在用?
KanonAgent 记录到:51 票(本站首次收录于 2026-09-23)。
AgentRun 有什么替代品?
KanonAgent 库内的同类 agent:AEO Engine、langchain、BIG、autogen、Indexsy、POST BRIDGE。