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: Hermes Agent — Nous Research's Self-Improving AI Agent

Hermes Agent by Nous Research is a self-improving AI agent with a closed learning loop, MCP support, 200+ bug fixes in v0.4.0, and 15K+ GitHub stars gained in under a year.

By OMC Editorial on 2026-03-28

15,033 GitHub stars and +714 in a single day: NousResearch/hermes-agent is a self-improving, open-source AI agent from Nous Researchhttps://nousresearch.com — the team behind the widely-used Hermes fine-tuned model family. First published in July 2025, the project shipped v0.4.0 on March 23, 2026 and is accelerating fast. The Core Idea: An Agent That Learns Most AI agents are stateless — each session starts from scratch. Hermes Agent is built around a closed learning loop: after completing a complex task, the agent automatically writes a reusable skill file capturing the tool-call sequence. Those skills self-improve through continuous feedback collection during subsequent use. A full-text-search session store FTS5 + LLM summarization lets the agent recall and reason over its own past conversations across sessions. A companion repository, hermes-agent-self-evolutionhttps://github.com/NousResearch/hermes-agent-self-evolution, takes this further using DSPy + GEPA — an ICLR 2026 Oral paper — to automatically optimize prompts and code by analyzing execution trace failures rather than just outcomes. v0.4.0: Platform Expansion The March 23 release was described by maintainers as "the platform expansion release." Key additions: - OpenAI-compatible API server — drop-in for any OpenAI client library - 6 new messaging adapters — single gateway process connects Telegram, Discord, Slack, WhatsApp, Signal, and Email - 4 new inference providers added alongside the first-class Nous Portal - MCP server management with OAuth 2.1 — native Model Context Protocol integration, configurable from the CLI - Gateway prompt caching and streaming enabled by default - 200+ bug fixes and a full reliability pass Deployment Options Hermes supports six terminal backends: local, Docker, SSH, Daytona, Singularity, and Modal. The Modal backend enables serverless persistence — the agent environment hibernates when idle, costing nearly nothing between sessions, and wakes on demand. It also in