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Unknown

Funding

Early-stage

AI Agent Store: Marketplace and Directory for AI Agents

AI Agent Store is a curated marketplace and research hub for AI agents, agent-building frameworks, and AI agencies. It helps teams discover, compare, and shortlist agents by use case, industry, and integrations—then routes you to the vendor to try or buy.

  • Website: [aiagentstore.ai](https://aiagentstore.ai)
  • Operator: MB Skydis (per [Terms of Service](https://aiagentstore.ai/terms-of-service))
  • Core model: Discovery and referral; profiles link out to vendor pages for trials or purchase
  • What AI Agent Store Offers

  • Curated agent profiles with summaries, key features, supported integrations, and vendor links
  • Structured catalog browsing by:
  • Categories and “for” segments
  • Integrations
  • Agent platforms and frameworks
  • Comparison guides for similar agents (e.g., [Roo Code vs. Sweep AI](https://aiagentstore.ai/compare-ai-agents/roo-code-vs-sweep-ai), [Anon vs. Rebyte](https://aiagentstore.ai/compare-ai-agents/anon-vs-rebyte))
  • Rolling news feed tracking agentic AI releases and standards
  • Podcast on agent trends
  • AI agency listings with an RFQ path for deployment support
  • Explore the directory: [AI Agents Directory](https://aiagentstore.ai/ai-agents-directory) and [Ecosystem Hub](https://aiagentstore.ai/ecosystem)

    How It Works

    1. Discover agents via categories, integrations, or comparisons.

    2. Research on detailed profile pages (features, supported apps, links).

    3. Click through to the vendor to run a trial or buy.

    4. For services, shortlist an agency and submit an RFQ.

    Vendor onboarding: register and submit agents via [Registration/Submit AI Agent](https://aiagentstore.ai/reg).

    Who It’s For

  • Operators and teams evaluating agent tooling by workflow, app integration, or industry
  • Startup founders listing agents to test GTM and acquire early users
  • Buyers seeking an AI agency to scope and deploy an agent project (via RFQ)
  • Researchers tracking agent frameworks, platforms, and ecosystem news
  • Common Use Cases

  • Shortlist by integration: find agents that work with LinkedIn, Airtable, SharePoint, Azure DevOps, Tableau, Slack, Zapier, and more (see [Integrations Index](https://aiagentstore.ai/integrations) and examples: [LinkedIn](https://aiagentstore.ai/integrations/linkedin), [Airtable](https://aiagentstore.ai/integrations/airtable), [SharePoint](https://aiagentstore.ai/integrations/sharepoint), [Azure DevOps](https://aiagentstore.ai/integrations/azure-devops), [Tableau](https://aiagentstore.ai/integrations/tableau))
  • Compare similar tools side‑by‑side to choose the right fit
  • Find an agency partner and submit an RFQ for proposals
  • Keep up with releases via daily/weekly news and the podcast
  • Notable Catalog Examples

  • Agent pages: [Agents AI](https://aiagentstore.ai/ai-agent/agents-ai), [Convai](https://aiagentstore.ai/ai-agent/convai), [ElizaOS](https://aiagentstore.ai/ai-agent/elizaos), [Make AI](https://aiagentstore.ai/ai-agent/make-ai)
  • Pricing and Trials

  • Browsing is free for users.
  • Trials are offered by each vendor; AI Agent Store links you out to sign up.
  • Listing fees for vendors are not publicly posted.
  • Pros and Cons (User Sentiment)

  • Pros
  • Focused niche on agents and platforms vs. generic AI tool lists (see [G2 Overview](https://www.g2.com/products/ai-agent-store/reviews))
  • Easy to browse; categorization and integration filters speed up shortlisting (see [G2 Pros/Cons Snippet](https://www.g2.com/products/ai-agent-store/reviews?qs=pros-and-cons))
  • Useful for GTM experiments and early lead-gen alongside marketplaces like Futurepedia and Taaft (see discussions on [r/GrowthHacking](https://www.reddit.com/r/GrowthHacking/comments/1mbf3eo/growth_folks_how_are_you_getting_leads_from/) and [r/SaaS](https://www.reddit.com/r/SaaS/comments/1mbf25p/how_are_you_getting_leads_from_product/))
  • Cons
  • Limited review volume today; thinner social proof (see [G2 Listing](https://www.g2.com/products/ai-agent-store/reviews))
  • Marketplace noise risk; lead quality can vary across directories (see threads on [r/GrowthHacking](https://www.reddit.com/r/GrowthHacking/comments/1mbf3eo/growth_folks_how_are_you_getting_leads_from/) and [r/SaaS](https://www.reddit.com/r/SaaS/comments/1mbf25p/how_are_you_getting_leads_from_product/))
  • What to Know Before You Use It

  • AI Agent Store is a research and routing layer: you evaluate on-site, then try/buy on the vendor site.
  • Vendor submissions are supported; listing fees are not disclosed publicly.
  • Public company details (founder, HQ, funding) are not listed; the [Terms](https://aiagentstore.ai/terms-of-service) name MB Skydis as operator.
  • User reviews exist but are limited; cross-check specific agents on sources like G2/Capterra for diligence. Intro post: [DEV Community](https://dev.to/aiagentstore/intro-to-ai-agent-store-2lbk).
  • SEO Snapshot

  • Primary intent: “AI agent marketplace,” “AI agent directory,” “compare AI agents,” “AI agency RFQ,” “AI agent integrations”
  • Meta description (suggested): “AI Agent Store is a curated marketplace and directory to discover, compare, and shortlist AI agents, platforms, and agencies by use case and integrations. Browse profiles, comparisons, integrations, news, and click through to vendors to try or buy.”
  • Fast Facts

  • Product: Marketplace and directory for AI agents, agent platforms, and AI agencies
  • Scope: Curated profiles, comparisons, integration indexes, and news/podcast
  • Function: Discovery and referral to vendor sites
  • Social/content: Podcast on [Spotify](https://open.spotify.com/show/674YNhrh0OGAoiiib3dmt2) and [Apple](https://podcasts.apple.com/us/podcast/ai-agents-top-trend-of-2025-by-aiagentstore-ai/id1784690394)
  • Start here: [Homepage](https://aiagentstore.ai) | [Directory](https://aiagentstore.ai/ai-agents-directory) | [Integrations](https://aiagentstore.ai/integrations) | [Submit an Agent](https://aiagentstore.ai/reg)