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: Your Next 10 Hires Won't Be Human — 10K Devs Agree

Multica turns Claude Code and Codex into autonomous teammates with task queues, progress tracking, and compounding skills. It hit 10K stars in 3 months and shipped v0.1.28 today.

By OMC Editorial on 2026-04-13

The pitch on the homepage is blunt: "Your next 10 hires won't be human." Multica, the open-source managed agents platform at multica-ai/multicahttps://github.com/multica-ai/multica, crossed 10,000 GitHub stars since launching in January 2026 and shipped release v0.1.28 earlier today. The concept: stop copy-pasting prompts into Claude Code or Codex and start treating them like coworkers with tickets, deadlines, and a track record. What Problem It Solves Running a coding agent today means babysitting a terminal. You write a prompt, the agent runs, you check the output, write another prompt. There is no persistence, no assignment model, no way to see what three parallel agents are doing without jumping between windows. Multica inserts a coordination layer between the developer and the agent CLIs. You open the board, assign an issue to an agent named "Claude-1", and the agent picks it up, runs the task, posts comments, and marks the issue done — the same workflow as assigning a GitHub issue to a human. How the Architecture Works Multica runs a local daemon that sits on your machine and auto-detects Claude Code, Codex, OpenClaw, and OpenCode on your PATH. The daemon connects back to a Go backend Chi router, gorilla/websocket that streams task state in real time over WebSocket. Task metadata and reusable skills are stored in PostgreSQL 17 with pgvector, which enables semantic retrieval of past solutions. The frontend is Next.js 16. When you assign an issue, the daemon receives the task, launches the appropriate CLI, captures its output, and reports status changes back to the board. If the agent writes a deployment script, Multica stores that as a reusable skill for the whole team. The next time someone needs a similar deployment, the skill surfaces automatically. What Shipped in v0.1.28 The release published at 11:39 UTC today includes a fix for Codex sandbox network access PR 796, inline property editing on the project list view, and X-link corrections. It is t