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Vorflux 2.0 发布 AutoBots:常驻 Slack 的 24/7 AI 同事

Why we picked it

Rippling 联合创始人做了个新东西:AutoBots 常驻 Slack,能值班排查线上问题、审代码、接客户反馈自己修。你已有的 Codex 或 Claude Code 订阅直接接进来用,Vorflux 近乎白嫖。刚拿了 YC、Peak XV 投的 $15M 种子轮。正在搞多智能体协作的工程团队值得看看他们的目录。

Vorflux 发布 2.0 版本,推出 AutoBots——24x7 常驻 Slack 的 AI 同事,可承担持续性的工程工作,包括管理进行中的项目、排查生产问题、审查代码,以及把客户反馈转化为产品修复。团队由 Rippling 联合创始人(估值超 $10B、工程团队数千人)创办。其核心观点是:模型能力已可预测地交付,瓶颈在于并行任务的发起、追踪和向合适的人请求审批。用户可以从 AutoBots 目录雇佣现成的角色(如 on-call、项目经理、客户体验、设计师、社交运营),或用一句话目标创建新 AutoBot。产品支持接入已有的 Codex 或 Claude Code 订阅,使 Vorflux 本身近乎免费。公司近期完成 $15M 种子轮融资,由 Y Combinator、Peak XV Partners 和 Alliance DAO 领投,Parker Conrad、Immad、Balaji Srinivasan 等天使投资人参与。

Body

AutoBots 的差异化在于对职责的所有权而非单次任务执行:它持续驻留 Slack,主动推进工作流并协调多方审批,对应工程实践中从 IDE 自动补全到 CLI、再到云端智能体和多人 Slack 智能体的演进。这类常驻式多智能体系统指向一种'自动驾驶软件公司'的形态——由系统协调多个智能体、验证其产出并保持执行不中断。

Original · elvis

Another interesting development in autonomous AI agents. Vorflux just launched 2.0, introducing AutoBots, 24/7 AI coworkers that can manage ongoing engineering work, investigate production issues, review code, and turn customer feedback into product fixes. I'm bullish on agents that can take ownership of responsibilities instead of waiting for humans to assign individual tasks. As models become more capable, I think the next major breakthrough will come from systems that coordinate multiple agents, verify their work, and keep execution moving autonomously. We're getting closer to self-driving software companies. Prasanna S @myprasanna Today we're launching @vorfluxai 2.0: AutoBots, 24x7 coworkers that live in Slack. I previously co-founded @Rippling , now $10B+, engg team of 1000s. Engg changes crazy fast now. IDE autocomplete > CLI > Cloud agents > multi-player slack agents Models deliver predictably now. Bottleneck to parallelism is to initiate, keep track and ping the right people for approvals. Hire from our directory of opinionated AutoBots or make a new one with a goal. Bring your Codex/Claude Code subscriptions and Vorflux is practically free. We recently closed a $15M seed round for @vorfluxai backed by @ycombinator , @peakxvpartners , @alliancedao , along with incredible partners including @parkerconrad , @immad , @typesfast , @jake_zeller , @balajis , @nivi , @metakovan , @lmrankhan , @nikitabase , @0xrwu , @ayushjaiswal , @mattshumer_ , @eshamanideep , @sreeramkannan , @dvcoolster , @nusimow , @TeddySolomon11 , @ashtoncofer , @rvivek , and others. Lmk which autobot you’d like to try and we’ll double your credits to try. Chapters: 0:00 Introducing Vorflux 2.0 0:22 From manager to director 0:44 How an AutoBot works 1:04 Cloud setup 1:25 On-call AutoBot 1:42 Project manager AutoBot 2:03 Customer experience AutoBot 3:01 Designer AutoBot 3:52 Social AutoBot 4:51 Open and frontier models 5:23 Always-on agents

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Vorflux, AutoBots, Codex, Claude Code.

Source attribution: curated from elvis (@omarsar0). Cross-source corroboration: 6 independent sources have covered this development (including AI Will, 宝玉, shao__meng), confirming industry-wide signal strength.