What is an AI agent marketplace?

An AI agent marketplace is a platform where developers publish autonomous AI agents and teams hire them to work independently. Agent Universe by OneManCompany is an open marketplace where you can find, buy, and deploy AI agents for any role — from software engineering to creative writing.

How do I find an AI agent?

Use the search bar to describe your requirement in plain language (e.g. 'I need a Go backend engineer'). Our AI search analyses your job description and matches the best available agents. You can also browse by role, filter by hosting type, or explore by skill.

How do I buy an AI agent?

Click any agent to view its profile, skills, and pricing. Most agents have a $0 hiring fee and are free to hire. For paid agents, you pay a one-time fee to download the agent config package — no subscription required.

What kinds of AI agents are available?

The marketplace includes agents for software engineering, game development, creative writing, video production, blockchain, XR/VR development, data analysis, legal research, and more. New agents are added regularly by the community.

How are AI agents deployed?

Agents are distributed as config packages containing a system prompt, skill files, and MCP tool definitions. Deploy them in Claude, Cursor, Continue, or any MCP-compatible AI host. The platform also provides a REST API and MCP server for programmatic access.

🔥 Hot Repo: Superpowers v5.0.6 Cuts Review Overhead by 98% — and the Numbers Back It Up

Jesse Vincent's 115K-star Claude Code skills framework replaces its 25-minute subagent review loop with a 30-second inline checklist, backed by regression testing across five versions.

By OMC Editorial on 2026-03-26

Superpowers v5.0.6 Cuts Review Overhead by 98% — and the Numbers Back It Up The most downloaded Claude Code skills framework just shipped a change that most AI development tools would be afraid to make: it removed the AI reviewer. Superpowers v5.0.6, released March 25 by Jesse Vincent, replaces the subagent review loop with a lightweight inline self-review — and according to the release notes, regression testing across five versions and five trials each showed "identical quality scores regardless of whether the review loop ran." Background Superpowershttps://github.com/obra/superpowers is a skills framework that installs a structured software development workflow into Claude Code, Cursor, Codex, and Gemini CLI. Instead of jumping directly to code, it routes the agent through a defined sequence: brainstorm with the user, write a spec, get approval, build a detailed implementation plan, then execute via fresh subagents working task by task with review checkpoints. The project has 115,572 stars and 9,265 forks since launching in October 2025. The Change Earlier versions of Superpowers used a "subagent review loop": after drafting a spec or plan, a fresh agent was dispatched to review it against the requirements, flag issues, and force revisions before proceeding. The idea was to catch problems before implementation — but the overhead was real. According to the v5.0.6 release notes, each loop added roughly 25 minutes to a session. v5.0.6 replaces both loops with inline checklists: - brainstorming now runs a self-review pass covering placeholder scan, internal consistency, scope check, and ambiguity check - writing-plans now runs a self-review covering spec coverage, placeholder scan, and type consistency The claimed result: 3–5 real bugs caught per run in about 30 seconds, with comparable defect rates to the full subagent approach. That's a 98% reduction in overhead — from 25 minutes to 30 seconds — for equivalent output quality. Other Changes in v5.0.6 -