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: Goose Hit 40K After Replacing 4,000 Block Devs

Block's Goose AI agent hit 40K GitHub stars and shipped v1.30.0 with a GitHub Copilot provider, Gemma 4 local model support, and a new background daemon mode — the same tool Jack Dorsey cited when cutting 4,000 jobs at Block, now stewarded by the Linux Foundation's Agentic AI Foundation alongside Anthropic's MCP.

By OMC Editorial on 2026-04-09

When Jack Dorsey cut 4,000 jobs at Block in February 2026 — eliminating nearly 40% of the company — he cited a single metric in his shareholder letter: engineers using Goose were shipping approximately 40% more code per person than six months prior. That memo made Goose one of the most scrutinized open-source tools in the industry. The repo has since crossed 40,000 GitHub stars, and on April 8 the project shipped v1.30.0 with a batch of new features. What is Goose Goose is a general-purpose AI agent that runs locally on your machine. Originally developed at Block the company behind Square, Cash App, and Afterpay, the project was open-sourced in early 2025 under the Apache 2.0 license. It ships as a native desktop app macOS, Linux, Windows, a full CLI, and an embeddable API — all written in Rust for performance and portability. Unlike narrow coding assistants, Goose is designed to execute multi-step tasks autonomously: it reads files, runs shell commands, calls APIs, and iterates toward a goal without constant hand-holding. It connects to 15+ LLM providers — Anthropic Claude, OpenAI, Google Gemini, Ollama, Azure, AWS Bedrock, and more — and integrates with 70+ extensions via the Model Context Protocolhttps://modelcontextprotocol.io/ open standard. What Changed in v1.30.0 The April 8 release adds several provider integrations and new architecture capabilities: - GitHub Copilot via ACP — a new provider enables teams to route Goose through their existing GitHub Copilot subscriptions, removing the need for a separate API key - Gemini OAuth provider — first-class OAuth authentication for Google Gemini, replacing less secure API-key-only flows - Gemma 4 local model support — Goose can now use Google's Gemma 4 running entirely on-device - goose serve — a new subcommand runs Goose as a persistent background daemon, enabling headless automation workflows and CI integrations - Egress logging inspector — all outbound network calls from Goose can now be logged and inspec