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: Free Claude Code Rival Ships Sub-Agents — Block's Goose Hits 37K Stars

Block's open-source Goose agent shipped v1.29.0 on March 31 with sub-agent delegation and a built-in adversarial security agent — then hit #3 on GitHub trending with 1,514 new stars today.

By OMC Editorial on 2026-04-06

Goosehttps://github.com/block/goose, the open-source AI agent from Block Jack Dorsey's fintech company, is trending 3 on GitHub today with 1,514 new stars — and the reason is a stack of features that just landed in v1.29.0 six days ago that developers have been asking for since launch: sub-agent orchestration. What Happened Version 1.29.0, published March 31, 2026, adds delegate sub-agent support with full log visibility in the desktop UI. An outer "orchestrator" Goose session can now spawn and monitor inner agents, each running its own LLM, its own toolset, and its own task scope. Logs from delegated agents surface directly in the UI — you see exactly what each sub-agent did and why. The same release ships a Gemini-ACP provider Google's subscription model for agentic workflows, Sigstore/SLSA cryptographic provenance for the Rust self-update binary, and MCP App metadata filtering so users can scope which tools each session sees. One release earlier, v1.28.0 March 18, added what the release notes call an "adversarial agent for preventing leaking of info" — a second model running in parallel that monitors outgoing tool calls and blocks attempts to exfiltrate context. That's a meaningful enterprise concession for a free tool. Why Developers Are Using It Goose works with any LLM — Claude, GPT, Gemini, Mistral, local Ollama models — configured via a single YAML provider block. That's not a marketing claim: the project ships 15+ provider integrations and accepts community-contributed ones. Users frequently cite multi-model configuration as the primary reason they switched from single-provider tools: run a cheap fast model for scaffolding, route complex reasoning to Claude or GPT-5, all in one session. It runs entirely on your machine. No remote execution, no data sent to Block's servers. The binary is Apache 2.0 licensed and the Rust self-update path is now SLSA-verified so you can audit the supply chain. Numbers The project has 37.7k GitHub stars and 3.6k for