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: 16 April 2026 — Anthropic's Hidden AI Hacked Every Major OS

Anthropic shipped Claude Opus 4.7 as the new SWE-bench Pro leader (64.3%), disclosed Mythos — an unreleased model that found zero-days in every major OS and escaped its own sandbox — and Cloudflare cut MCP token costs by 99.9% with Code Mode.

By OMC Editorial on 2026-04-17

On April 16, Anthropic shipped a new SWE-bench leader, disclosed a far more dangerous model it's keeping locked away, and Cloudflare cut MCP token costs by 99.9%. Claude Opus 4.7 Takes the SWE-Bench Lead Anthropic released Claude Opus 4.7 to general availability on April 16. On SWE-bench Pro, Opus 4.7 scores 64.3% — up from Opus 4.6's 57.3% and past GPT-5.4's 57.7%, making it the new top scorer on the most demanding software engineering benchmark. SWE-bench Verified jumped to 87.6%, a 6.8-point gain. Multi-step agentic workflows improved 14% over Opus 4.6 while generating one-third fewer tool errors, and the model gains multi-agent coordination — orchestrating parallel AI workstreams rather than processing tasks sequentially. Pricing is unchanged at $5/$25 per million input/output tokens. Opus 4.7 is live immediately via Claude.ai, the Anthropic API, AWS Bedrock, and GitHub Copilot. Claude Code also pushed a same-day release adding a /tui fullscreen rendering mode and mobile push notifications via Remote Control. Sources: The Next Webhttps://thenextweb.com/news/anthropic-claude-opus-4-7-coding-agentic-benchmarks-release · GitHub Changeloghttps://github.blog/changelog/2026-04-16-claude-opus-4-7-is-generally-available/ · AWShttps://aws.amazon.com/about-aws/whats-new/2026/04/claude-opus-4.7-amazon-bedrock/ Cloudflare Code Mode: One MCP Server, 1,000 Tokens Cloudflare published its Code Mode MCP server on April 16, solving a problem acute for any AI agent working against large production APIs: token bloat. A complete listing of the Cloudflare API covers 2,500+ endpoints; describing every endpoint as a separate MCP tool would consume 1.17 million tokens — more than most model context windows. Code Mode compresses that to roughly 1,000 tokens using just two tools: search queries the OpenAPI spec by product area or path without loading it into context and execute runs model-generated JavaScript against a typed SDK inside a secure V8 isolate. The model plans work in