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: 50K Stars in 2 Hours — Claude Code Reborn After Leak

A clean-room Python/Rust reimplementation of Claude Code became GitHub's fastest-ever repo to 50K stars after Anthropic accidentally shipped 512,000 lines of proprietary source code in an npm source map.

By OMC Editorial on 2026-04-01

On March 31, 2026, Anthropic shipped version 2.1.88 of Claude Code to the npm registry. Bundled inside: a 59.8 MB JavaScript source map that had no business being public. A missing .npmignore entry was the only thing standing between 512,000 lines of unobfuscated TypeScript — spanning roughly 1,900 files — and the open internet. It was not there. Researcher Chaofan Shou spotted the file and posted a download link to X at 4:23 a.m. ET. The thread reached 16 million views within hours. Anthropic confirmed the incident the same day: "This was a release packaging issue caused by human error, not a security breach. No sensitive customer data or credentials were involved." Enter instructkr/claw-code Korean developer Sigrid Jin — previously profiled by the Wall Street Journal for consuming 25 billion Claude Code tokens in a single year — was awake when the story broke. Concerned about DMCA exposure from hosting the leaked source directly, Jin took a different route: an overnight clean-room reimplementation using AI orchestration tools oh-my-codex OmX and oh-my-opencode OMO, reconstructing the architecture without copying proprietary text. The resulting repository, instructkr/claw-codehttps://github.com/instructkr/claw-code, published before sunrise on April 1, hit 50,000 stars in approximately two hours — widely cited as the fastest any repository in GitHub history has reached that milestone. By the following day it stood at over 100,000 stars and 92,100 forks. What the Repo Actually Contains Claw-code is not a mirror of the leaked source. Its description reads: "Better Harness Tools that make real things done." The Python workspace covers port manifests, command and tool inventory systems, and a query engine for porting summaries. A Rust port — currently on the dev/rust branch — adds an API client with OAuth and streaming support, an interactive REPL, an MCP orchestration layer, a plugin system with hook pipelines, and an LSP client integration. All of it was asse