Show HN: Open Source AI Employees
Mark Fulton has released an open-source project called AI Employees, which consists of eight distinct agent kits designed to automate specific business roles. These agents run on local machines using existing AI tools to execute sixty scheduled routines that drive browsers and manage tasks like marketing and sales. The system is designed to improve over time by learning from previous runs and requires user approval for final actions to maintain control.
- ▪The project provides eight AI Employee kits covering roles such as GTM Engineer, SEO/AEO, Web Dev, and Chief of Staff.
- ▪Each kit contains a set of scheduled routines that run on the user's local machine using compatible AI agents like Claude Code or Codex.
- ▪The agents are capable of driving browsers and PCs to perform tasks, with a design that ensures they improve their own instructions based on real-world execution.
- ▪Installation involves downloading a kit and using a specific prompt to have the AI agent research the business and schedule its own routines.
- ▪The system operates on a principle of human-in-the-loop, where the AI drafts and stages actions but requires user approval for final execution.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,799 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/markfulton/ai-employees |
| Publication time | Mon, 21 Sep 2026 10:28:45 +0000 |
| Retrieval time | 2026-09-21T10:48:47.654Z |
| Last seen | 2026-09-21T10:48:47.654Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | y2xxtrz_k5yf · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Eight open source AI Employees. Each one runs a whole business role. 60 scheduled routines. Your own machine. The AI agent you already use. The eight AI Employees • Agent Ops Club • Live sessions • Software library • FAQ ⭐ Found something useful? Star the repo. It takes a second and helps the next person find it. AI Employees An AI Employee is a folder of scheduled routines that covers one business role. It runs on your own machine, on the AI agent you already use, and briefs you every morning. They drive your browser and your PC the way you do, and every run makes the next one better. Eight roles, every routine and schedule in this repo, nothing held back. Created by Mark Fulton of Reinventing.AI, founder of Vibe Coding is Life (340,000+ members).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.