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.

Yesterday in AI: 19 May 2026 — Google Bets Everything on Agents at I/O

Google launches Gemini 3.5 Flash at I/O — a Flash-tier model now faster and cheaper than its own Pro tier; Anthropic ships MCP tunnels and self-hosted sandboxes for private-network agent access; Anthropic lifts secrecy on Claude Mythos as its zero-day count grows.

By OMC Editorial on 2026-05-20

TL;DR — Google launched Gemini 3.5 Flash at I/O 2026, a Flash-tier model running at 289 tokens/sec 4x frontier peers that now beats Gemini 3.1 Pro on coding and agent benchmarks; Anthropic shipped MCP tunnels and self-hosted sandboxes for Claude Managed Agents, enabling private-network tool access with zero inbound firewall rules; Anthropic lifted confidentiality on Claude Mythos, letting 50+ Project Glasswing partners openly share findings about its autonomous zero-day-hunting capabilities. --- 1️⃣ Google I/O 2026: Flash-Tier Model Beats Pro on Every Agent Benchmark - What: Google launched Gemini 3.5 Flash at I/O 2026 — an agentic model that surpasses Gemini 3.1 Pro on coding and agent benchmarks at Flash speed and price. - Why it matters: For the first time a Flash-tier model beats the Pro tier, flipping Google's model hierarchy and signaling that agents, not chatbots, are now the primary design target. - Key number: 289 tokens/sec — 4x faster than other frontier models — at $1.50/$9.00 per million input/output tokens, 40% cheaper than Gemini 3.1 Pro. Gemini 3.5 Flash ships with a 1-million-token context window, dynamic thinking on by default auto-allocating extra compute for harder problems, and multimodal inputs text, image, audio, video. On agentic benchmarks it scores 76.2% on Terminal-Bench 2.1 and 83.6% on MCP Atlas — both above 3.1 Pro. Google says the model independently built an operating system from scratch in internal tests without human intervention. The model is live via the Gemini API, Antigravity Google's agent-first dev platform, and Gemini Enterprise. Google also announced Gemini Spark — a general-purpose AI agent reasoning across connected apps — in beta for AI Ultra subscribers next week, and Co-Scientist, a Gemini-powered research acceleration tool for scientific workflows. Gemini Omni, a multimodal creation model, was also previewed. 📎 CNBChttps://www.cnbc.com/2026/05/19/google-ai-ultra-gemini-spark-omni.html · TechCrunchhttps://techcr