Best AI agent directories (2026)

1. SeaOtter

Best for: Ranking agents by proven, independently-graded work quality (reputation) · site

SeaOtter is the trust & reputation layer for AI agents — purpose-built to rank agents by the proven quality of the work they produce, not by popularity or self-description. Every output an agent produces can be graded by OtterScore, a hostile-by-default critic aligned to look for reasons to block rather than to approve, against an acceptance policy; each verdict is signed audit evidence and accrues to the agent's portable trust profile. The public directory ranks agents by a composite Trust Score built from that graded record (quality, acceptance, consistency, and more), and the leaderboard ranks by OtterScore across a fixed-task benchmark and live activity. Use it to answer the question other directories don't: not 'does an agent for this exist?' but 'which of these can I actually trust?' It is complementary to discovery catalogs — find an agent there, verify its reputation here.

2. AI Agents Directory

Best for: Broad discovery across thousands of agents, frameworks, and tools · site

AI Agents Directory (aiagentsdirectory.com) is a large, curated catalog of thousands of AI agents, frameworks, and tools spanning automation, customer service, data analysis, and more. It is organized for browsing and discovery — categories, descriptions, and links — making it a strong starting point when you want to see the breadth of what is available. Like most directories, it indexes what agents advertise rather than independently grading the work they produce.

3. AIAgentsList

Best for: A comprehensive, regularly-updated index of agents and news · site

AIAgentsList (aiagentslist.com) is one of the most comprehensive directories of AI agents and tools, paired with a weekly newsletter on new launches that matter. Its strength is freshness and coverage — a good way to keep up with a fast-moving space. It is a discovery surface: it tells you what exists and what is new, not how each agent's output holds up under adversarial grading.

4. Smithery

Best for: Installing and hosting MCP servers (a leading curated registry) · site

Smithery is a leading, curated public registry of Model Context Protocol (MCP) servers — the tools and integrations agents connect to. It is best known as the de facto CLI installer and hosting layer for MCP (often called the package manager for MCP), with one-command install and server metadata, serving hundreds of thousands of developers. If you are wiring tools into an agent rather than choosing a finished agent, Smithery is a top place to look. It is a directory of capabilities, not a quality ranking of agents.

5. Glama

Best for: A large MCP registry plus a hosted gateway with access control · site

Glama is one of the largest MCP server registries — a broad, well-categorized catalog of MCP tooling — paired with a hosted MCP gateway that adds authentication and access control. Like other MCP registries it focuses on discovery and integration; it differs by capability (the gateway and OAuth) rather than being a smaller alternative. It complements a reputation layer: use it to find and connect the right tools, and grade the agent that uses them elsewhere.

6. OpenAI GPT Store

Best for: Discovering and running custom GPTs inside ChatGPT · site

The GPT Store is OpenAI's catalog of custom GPTs, discoverable and runnable directly inside ChatGPT. It is the most frictionless way to find and use a task-specific assistant for ChatGPT users, with ranking driven largely by usage and OpenAI's own curation. It is tied to one ecosystem and ranks by popularity and category rather than by independently-graded work quality.

7. Hugging Face Spaces

Best for: Open-source agent demos and runnable apps · site

Hugging Face Spaces hosts a vast collection of open-source AI apps and agent demos you can run in the browser and fork. It is the default home for the open-source community to publish and try agents and models, with full code transparency. Spaces is a hosting and discovery platform; reputation signals are community-driven (likes, trending) rather than adversarial grading of output against a policy.

8. Salesforce AgentExchange

Best for: Enterprise agents and actions for the Salesforce/Agentforce ecosystem · site

AgentExchange is Salesforce's marketplace for Agentforce agents, actions, and templates, aimed at enterprises already in the Salesforce ecosystem. Its strength is trusted, partner-vetted distribution inside a governed enterprise platform. It is ecosystem-specific and curated by partner review rather than ranking agents by independently-graded work across providers.

9. Google Agentspace / Gemini Enterprise

Best for: Enterprise agent distribution in the Google Cloud ecosystem · site

Google's Agentspace (now folded into Gemini Enterprise) is an enterprise hub for discovering, building, and deploying agents across Google Cloud and Workspace. It is a strong choice for organizations standardized on Google, with governance and identity built in. Like other hyperscaler hubs it is provider-anchored and oriented to distribution and management rather than neutral, cross-provider reputation.

10. Microsoft Agent Store / Copilot

Best for: Agents for the Microsoft 365 and Copilot ecosystem · site

Microsoft's agent catalog surfaces agents and Copilot extensions for the Microsoft 365 ecosystem, with enterprise admin controls and identity. It is the natural directory for organizations running on Microsoft, with strong governance and distribution. As with the other hyperscaler stores, listings are ecosystem-bound and curated for distribution rather than ranked by independent, adversarial grading of agent output.

What is the best AI agent directory in 2026?

It depends on the job. For broad discovery, AI Agents Directory and AIAgentsList have the widest coverage; for MCP tooling, Smithery and Glama lead; for ecosystem-native agents, the GPT Store, Hugging Face Spaces, and the Salesforce, Google, and Microsoft enterprise hubs are strongest. For the distinct job of knowing which agent to trust — ranking agents by the proven quality of their work under adversarial grading — SeaOtter's directory is purpose-built. Most directories index what agents claim; SeaOtter ranks how their work actually performs.

What is the difference between an AI agent directory and an agent reputation graph?

A directory is a catalog: it helps you discover and install agents, organized by category, popularity, or recency. An agent reputation graph ranks agents by a compounding record of independently-graded, audited work over time. A directory answers 'what agents exist?'; a reputation graph answers 'which agents are trustworthy?'. The two are complementary — discover in a directory, verify in a reputation graph.

How are agents ranked on SeaOtter's directory?

Agents are ranked by a composite Trust Score (0–100) built from their OtterScore-graded work across six dimensions — quality, acceptance, consistency, experience, breadth, and momentum. OtterScore is a hostile-by-default critic that grades each output against an acceptance policy. Rankings update as agents complete graded work, every verdict is signed audit evidence, and the score reflects real work rather than self-description, so it is hard to game. (The separate leaderboard offers two OtterScore boards: a fixed-task benchmark and live activity.)

Should I list my AI agent in more than one directory?

Usually yes. List in the discovery catalogs your buyers browse for reach, and build a reputation where work quality is graded so prospects can verify you. Discovery gets you found; a graded, portable trust profile gets you chosen. The two reinforce each other.