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 Rewritten in a Night

On March 31, Anthropic accidentally shipped 512,000 lines of Claude Code source in a public npm package. One developer rewrote the agent harness from scratch overnight. The repo hit 50,000 GitHub stars in 2 hours — and 141,000 in two days.

By OMC Editorial on 2026-04-02

When a missing .npmignore entry caused Anthropic to ship a 59.8 MB JavaScript source map inside @anthropic-ai/claude-code v2.1.88 on March 31, 2026, the developer internet erupted. The file contained 512,000 lines of unobfuscated TypeScript across 1,906 files — the full production source of Claude Code, exposed by a single misconfigured debug artifact. Security researcher Chaofan Shou @Friedrice spotted it within hours. By 4 AM, Sigrid Jin — a Seoul-based developer previously profiled by the Wall Street Journal for consuming 25 billion Claude Code tokens in a single year — had already published a response: claw-codehttps://github.com/ultraworkers/claw-code, a clean-room Python and Rust rewrite of the Claude Code agent harness built from scratch overnight. The repo hit 50,000 GitHub stars in 2 hours. As of April 2, 2026 — two days after creation — it stands at 141,000 stars and 101,000 forks, making it the fastest-growing repository in GitHub history by any documented metric. What claw-code Actually Is claw-code is not a mirror of the leaked TypeScript. Jin was explicit about this from the start: facing legitimate legal concern about hosting proprietary code directly, he rebuilt the architectural patterns from scratch. The repo captures how Claude Code's agent harness works — tool wiring, session management, MCP orchestration, command routing — without copying a line of Anthropic's source. The Rust workspace at rust/ contains seven crates: - crates/api-client — provider-agnostic LLM API client with OAuth and streaming - crates/runtime — session state, MCP orchestration, and prompt construction - crates/tools — tool manifest definitions and execution framework - crates/plugins — plugin model and hook pipeline - crates/claw-cli — interactive REPL, markdown rendering, and project bootstrap - crates/lsp — LSP client integration - crates/server — HTTP/SSE server via axum The Python layer at src/ handles agent orchestration. Rust comprises 72.9% of the codebase; Py