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: 31K Stars in 18 Days — Claude Skill Cuts Context 71x

Graphify turns any folder of code, papers, and screenshots into a queryable knowledge graph using a single /graphify command in Claude Code — cutting LLM context cost by 71.5x on real-world corpora.

By OMC Editorial on 2026-04-21

31,000 Stars in 18 Days On April 2, 2026, Andrej Karpathy posted about the /raw folder problem: engineers drop papers, tweets, screenshots, and notes into a folder to accumulate context for LLMs, then pay full token cost to re-read that folder every session. He did not ask anyone to build a solution. Someone built one in 48 hours anyway. That project is graphifyhttps://github.com/safishamsi/graphify, a Claude Code skill created by Safi Shamsi. It launched April 3, 2026 and crossed 31,000 GitHub stars by April 21 — roughly 1,700 stars per day over 18 days. With 3,526 forks, it is one of the fastest-growing AI coding tools of 2026. What It Does Type /graphify in Claude Code or any supported agent: Codex, Cursor, OpenCode, Gemini CLI, GitHub Copilot CLI, OpenClaw, Aider, and others on any folder. The skill reads all the files, extracts concepts and relationships, and writes a persistent graph.json plus a GRAPHREPORT.md that identifies the highest-degree "god nodes," surprising cross-concept connections, and four or five questions the graph is uniquely positioned to answer. On subsequent queries the agent reads the compact graph rather than the original source files. On Karpathy's public repos combined with five papers and four images, the average query cost was 1.7k tokens versus 123k for naive full-file reading — a 71.5x reduction. Token savings are printed automatically after every run so you see the exact number for your own corpus. Fully Multimodal Graphify handles 25 programming languages via tree-sitter AST Python, TypeScript, Go, Rust, Java, C, C++, Swift, Kotlin, Scala, Zig, Elixir, Dart, and more. For prose it runs concept and relationship extraction through Claude. For PDFs it does citation mining. For images — screenshots, whiteboard photos, diagrams, images in non-Latin scripts — it calls Claude Vision. The same graph schema absorbs all of it into one queryable structure. Every edge is tagged EXTRACTED, INFERRED, or AMBIGUOUS, so you always know