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Where to List Your AI Agent in 2026: Top Directories & Marketplaces

Sean (SEO/Content)·

Why Distribution Matters for AI Agents

You've built an agent. It works. It solves a real problem. But if the right people never find it, none of that matters.

Unlike traditional software where word-of-mouth and app stores drive discovery, AI agents live in a more fragmented landscape. Developers are scattered across multiple platforms. Some hunt on Product Hunt. Some browse Hugging Face Spaces. Others check specialized agent directories. GitHub users discover tools through the Marketplace. Enterprise buyers look at provider ecosystems.

Listings on the right platforms don't just increase visibility — they signal credibility, drive direct traffic, and unlock partnership opportunities. In 2026, a multi-channel distribution strategy is non-negotiable.

This guide walks you through the seven best places to list your agent, how to choose which ones match your goals, and what makes a listing actually get discovered.

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The 7 Best Directories & Marketplaces for AI Agents

1. Agents.NET — The Agent-First Registry

What it is: Purpose-built agent discovery platform with structured agent profiles, capability metadata, and community reviews.

Audience: Developers actively seeking agents across categories (automation, research, content creation, customer support, etc.). Enterprise buyers evaluating agent infrastructure.

Why list here:

  • Targeted traffic. Unlike general app stores, everyone on Agents.NET is explicitly looking for agents.
  • Structured discovery. Agents are categorized by capability, industry, and license type. You show up in relevant filters.
  • Trust signals. Community reviews and publisher verification build credibility with developers considering your agent.
  • SEO benefits. High-authority registry boosts organic visibility for agent-related keywords.
  • Integration platform. Agents.NET is developing orchestration features — listings here make your agent discoverable for workflow building.
  • Submission process: Submit your agent directly on Agents.NET. Profile includes: agent name, description, capabilities, platform (web, API, self-hosted), pricing model, and technical requirements. Typical approval time: 1–3 business days.

    Best for: All agent types and sizes. This is the primary home for agent distribution.

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    2. Hugging Face Spaces

    What it is: ML community platform with over 1 million public repositories and Spaces (hosted model and agent demos).

    Audience: ML researchers, data scientists, and builders exploring new models and agent implementations. Highly technical audience.

    Why list here:

  • Built-in infrastructure. Create a Space, deploy your agent with a simple web interface, no deployment overhead.
  • Massive audience. 3M+ monthly visitors actively looking for new AI tools.
  • Forking and remixing. Users can fork your Space, customize it, and build on it. This drives adoption and reduces friction to experimentation.
  • Free hosting tier. If your agent runs in reasonable resource footprint, you get free hosting.
  • Community trust. A HuggingFace listing signals that your agent is open-source or community-driven (even if it's commercial).
  • Submission process: Create a Hugging Face account, upload your agent code to a Space (supports Streamlit, Gradio, Docker), add documentation. Live instantly.

    Best for: Open-source agents, research agents, and proof-of-concepts. Also strong for agents that benefit from ease-of-experimentation (write, remix, iterate).

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    3. OpenAI's GPT Store

    What it is: Marketplace of custom ChatGPT agents built using OpenAI's GPT Builder (no-code customization of ChatGPT).

    Audience: ChatGPT users seeking specialized agents for writing, research, coding, analysis, and niche workflows.

    Why list here:

  • Built-in user base. ChatGPT has 200M+ users. A fraction of them actively browse the GPT Store.
  • Frictionless UX. Users enable your GPT with a single click — no authentication or setup required.
  • Monetization. If you're a ChatGPT Plus subscriber, you can earn revenue when users enable your GPT.
  • Brand credibility. Being featured in the GPT Store signals that your agent integrates cleanly with a dominant platform.
  • Submission process: Build a GPT using ChatGPT's custom builder, write a description and icon, submit. Approval is automatic if it follows OpenAI's usage policies. Live instantly upon creation.

    Best for: Consumer-facing agents, productivity tools, research assistants, and anything that ChatGPT users would pay for or enable regularly. Less relevant for enterprise agents or infrastructure tools.

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    4. GitHub Marketplace

    What it is: Ecosystem for GitHub Actions, apps, and integrations that plug into developer workflows.

    Audience: GitHub users and development teams automating CI/CD, issue management, and development operations.

    Why list here:

  • Native integration. If your agent plugs into GitHub workflows (code review agents, issue triage, automated commit messages), listing here makes it discoverable within the tool developers already use.
  • Developer-first audience. GitHub users are highly technical and actively evaluating workflow automation tools.
  • Partnership potential. GitHub Marketplace listings create opportunities for partnerships, featuring, and integrations with GitHub's own ecosystem.
  • Submission process: Publish a GitHub App or Action with proper documentation and metadata. Marketplace listing is available once your app is published. Approval is automatic.

    Best for: Agents built for developer workflows: code review automation, test analysis, deployment assistance, documentation generation, DevOps orchestration.

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    5. Anthropic Tools Directory (Claude.ai)

    What it is: Directory of tools and integrations that Claude can use directly, or that extend Claude's capabilities.

    Audience: Claude.ai users and developers building on Claude's API.

    Why list here:

  • Close integration with Claude. If your agent is Claude-native or designed to work with Claude, this is a high-trust distribution channel.
  • Early-adopter audience. Claude users tend to be technically sophisticated and actively exploring new capabilities.
  • API ecosystem signal. A presence here suggests your agent is well-integrated with cutting-edge model infrastructure.
  • Submission process: Follow Anthropic's submission guidelines on their developer site. Requirements vary by tool type (API, web integration, etc.). Approval timeline: 1–2 weeks.

    Best for: Agents built specifically for Claude, or that provide tooling that Claude users and developers would find valuable.

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    6. LangChain Hub

    What it is: Repository of reusable LangChain prompts, chains, and agents. Popular for developers building with LangChain framework.

    Audience: LangChain developers building multi-step agent workflows, prompt engineers, and LLM application builders.

    Why list here:

  • Framework integration. If you're built on or compatible with LangChain, this is a targeted channel to reach LangChain users.
  • Community contribution signal. Listing here signals that your agent is production-ready and follows framework best practices.
  • Remix and fork culture. LangChain Hub encourages developers to fork and adapt. This drives adoption and experimentation.
  • Lower competition. While smaller than GPT Store or Hugging Face, LangChain Hub has less clutter and higher signal-to-noise.
  • Submission process: Create a LangChain account, push your agent code to the Hub using LangChain's CLI, add metadata (description, tags, examples). Live immediately.

    Best for: LangChain-based agents, agents built for developers, and infrastructure-level tools that plug into orchestration frameworks.

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    7. Product Hunt

    What it is: Launch platform for new products and tools. Not agent-specific, but increasingly hosting AI agents.

    Audience: Early adopters, startup enthusiasts, and tech-savvy professionals exploring new tools.

    Why list here:

  • Launch velocity. A successful Product Hunt launch can generate 500–2000+ upvotes in a day, driving massive traffic and credibility.
  • Media coverage. Products ranking high on Product Hunt often get picked up by tech media, amplifying reach.
  • Founder network. Product Hunt's audience includes investors, press, and other founders — useful if you're seeking partnerships or funding.
  • SEO and brand. A Product Hunt page ranks highly in Google, and the traffic spike helps your organic visibility for weeks afterward.
  • Submission process: Create a Product Hunt account, write a compelling title and tagline, create a demo video or screenshot gallery, craft a detailed post, and launch. Live on your scheduled launch date. Timing matters: Launch days are competitive. Tuesday–Thursday mornings (9 AM PT) typically see the highest engagement.

    Best for: Consumer-facing agents, novel use cases, and any agent where a direct audience and media attention matter. Also strong if you're looking to build brand and get founder recognition.

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    How to Choose: Pick 2–4 Platforms for Your Agent

    You don't need to list everywhere. The best strategy is targeting:

    Always: Agents.NET (primary agent-first discovery hub)

    Then pick 2–3 based on your audience:

  • Consumer/productivity agents → GPT Store + Product Hunt
  • Developer tools/orchestration → LangChain Hub + GitHub Marketplace
  • Research/ML agents → Hugging Face Spaces
  • Enterprise/workflow agents → Agents.NET (primary) + GitHub + Anthropic Tools
  • Indie/bootstrap projects → Product Hunt + Agents.NET
  • Each platform has different traffic patterns, approval timelines, and user expectations. Focus on the 2–3 where your core audience actually hangs out.

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    Listing Best Practices

    ✅ Write a Clear, Benefit-Focused Description

    Avoid marketing speak. Tell developers what your agent does and what problem it solves.

    ❌ Bad: "An AI-powered agent utilizing advanced NLP and machine learning paradigms to optimize organizational workflows."

    ✅ Good: "Analyzes customer support tickets, identifies common issues, drafts responses, and flags escalations. Reduces response time by 60% in support teams of 10-100 people."

    ✅ Include Pricing and Licensing Information

    Developers want to know: free, freemium, paid, open-source, or commercial?

  • If free, say so prominently.
  • If paid, mention pricing (or "contact sales").
  • If open-source, link the GitHub repo.
  • If requires API key/auth, state that upfront.
  • ✅ List Supported Platforms Clearly

    Specify the exact framework/platform your agent runs on:

  • OpenAI GPTs
  • LangChain + Python
  • Anthropic Claude + API
  • Custom REST API
  • Slack bot
  • Native web app
  • Self-hosted Docker
  • Don't make developers guess.

    ✅ Highlight Supported Data Sources & Integrations

    If your agent connects to external systems, list them:

  • "Works with Gmail, Google Drive, Google Calendar"
  • "Integrates with Salesforce CRM API"
  • "Reads from Postgres, MongoDB, BigQuery"
  • "Supports OAuth 2.0 and API key authentication"
  • ✅ Optimize for the Platform's Discovery Mechanism

    Each platform surfaces content differently:

    Agents.NET: Categorization matters. Accurate category + comprehensive metadata = better filtering and recommendations.

    Hugging Face: Trending is algorithmic (activity, new forks, likes). Engaging with the community (answering issues, updating your Space) boosts visibility. Good documentation and examples drive forks and adoption.

    GPT Store: Chat volume and star rating determine ranking. Encourage users to star your GPT and share it. The GPT Store is newer, so early listings get visibility.

    GitHub Marketplace: GitHub's algorithm favors active repos with recent commits and high GitHub star count. If your agent repo is the underlying project, maintain activity and build GitHub stars organically.

    LangChain Hub: Community remixes and downloads determine ranking. Build examples and clear documentation so users can fork and adapt easily.

    Product Hunt: Upvotes and comments in the first 12 hours determine all-day ranking. Drive an initial wave (5–10% of your total votes) in the first 2 hours with a coordinated launch.

    ✅ Build a Feedback Loop

    After launch:

  • Monitor reviews and comments. Reply to every critical piece of feedback in the first week.
  • Iterate based on user feedback. If multiple users mention friction in the onboarding, fix it and announce the improvement on the listing.
  • Celebrate milestones. When you hit 100 users, 1000 runs, or a major update, announce it. This triggers algorithmic visibility boosts on most platforms.
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    The CTA: Submit Your Agent to Agents.NET

    You've built something valuable. Now get it discovered.

    Submit your agent to Agents.NET today. Our registry is purpose-built for agent discovery, with structured profiles, community reviews, and integrations with the emerging orchestration ecosystem.

    Agents.NET is free to list and free to use. We make money through premium features (analytics, advanced filtering, priority support), not by taking a cut of your agent's success. We're aligned with your growth.

    What you'll get:

  • A public profile with your agent's capabilities, requirements, and pricing
  • Visibility in our directory, which is already attracting developers building agent workflows
  • Review and rating signals that build credibility with buyers
  • Early access to our orchestration platform (coming soon), which will let developers chain your agent into multi-step workflows
  • Organic traffic from SEO — "where to list AI agents" and similar queries are growing fast
  • You'll also want to list on 2–4 other directories from the list above, depending on your audience and business model. But Agents.NET should be your primary distribution hub.

    The agent era is here. Distribution matters. Get listed, get discovered, and build the user base your agent deserves.

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    Internal Links

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  • Agents.NET Directory — Browse thousands of agents across categories
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