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: 50K Stars in 26 Days — AI Memory That Runs Fully Local

MemPalace hit 50,600 GitHub stars in 26 days with a local-first AI memory system scoring 96.6% recall on LongMemEval — zero cloud calls, no API key required. v3.3.4 just dropped with local LLM setup and cross-project memory tunnels.

By OMC Editorial on 2026-05-01

One-liner — MemPalace is a local-first, verbatim AI memory system that stores and retrieves your AI conversation history with 96.6% accuracy using only your own hardware — no cloud, no API key, no subscription. - Repo: MemPalace/mempalacehttps://github.com/MemPalace/mempalace - Stars: ⭐ 50,600 22,000 in first 48 hours of launch - Language: Python - License: MIT --- What It Does MemPalace stores AI conversation history as verbatim text — no AI-generated summaries, no paraphrasing — then retrieves it with semantic search scoped to a structured hierarchy: "wings" projects/people, "rooms" topics, and "drawers" raw content. Nothing leaves your machine by default. A 29-tool MCP server makes it available to Claude Code, Cursor, and any other MCP-compatible agent without extra configuration. Why It's Blowing Up MemPalace launched on April 5, 2026, and hit 22,000 stars in 48 hours on the strength of a single credible number: 96.6% R@5 on LongMemEval — raw retrieval, no LLM, no API key at any stage. That score sits above every paid competitor in the category and landed the repo at the top of Hacker News. The timing hit a genuine pain point. Claude Code, Cursor, and Gemini CLI all gained long-running agent capabilities this year, and losing context between sessions became a daily friction point for developers. MemPalace's approach — mine your conversations once, recall them forever from a local corpus — filled that gap without requiring any subscription or cloud account. Today's v3.3.4 release deepens the local-only story: mempalace init now detects a running Ollama, LM Studio, or llama.cpp instance and uses it for free zero-cloud setup, falling back gracefully if none is found. A new cross-wing tunnel feature also connects related topics across separate projects, so agents find relevant context without knowing which project wing to search. Key Features - Verbatim storage — original text preserved exactly, retrieved without paraphrase loss or AI-introduced drift