AI Agents Platforms & Marketplaces
Where to Find and Deploy AI Agents in 2026
Key Takeaways
- The AI agents platform market is valued at $7.6B in 2025 and projected to reach $183B by 2033
- AI agents marketplaces like AI Agents Directory list 2,000+ agents across 72 categories
- Top open source AI agents frameworks include LangChain, CrewAI, AutoGen, and Auto-GPT
- Over 493 free AI agents are available for immediate use without licensing fees
AI AGENTS PLATFORM MARKET 2026
Sources: Grand View Research, AI Agents Directory
Finding the right AI agents platform can be overwhelming. With the market projected to grow from $7.6 billion in 2025 to over $180 billion by 2033, according to Grand View Research, new platforms, marketplaces, and tools emerge weekly. Whether you need to discover pre-built agents, build custom solutions, or deploy at enterprise scale, this guide covers every option.
We will explore AI agents marketplaces where you can find ready-to-use solutions, compare leading development platforms, examine the best open source AI agents frameworks, and help you identify free AI agents tools that fit your needs. If you are new to AI agents, start with our guide on what AI agents are before diving in.
What Are AI Agents Platforms?
An AI agents platform is the infrastructure where AI agents are built, deployed, and managed. These platforms provide the tools, frameworks, and runtime environments needed to create autonomous systems that can perceive, reason, and act. According to DataCamp, the landscape includes everything from low-code builders to enterprise-grade orchestration systems.
Development Platforms
Frameworks and SDKs for building custom agents from scratch. Examples include LangChain, CrewAI, and Microsoft AutoGen.
Marketplaces & Directories
Platforms to discover, compare, and deploy pre-built agents. Examples include AI Agents Directory, Google Cloud Marketplace, and AI Agent Store.
Cloud Platforms
Managed services from major cloud providers. Examples include AWS Bedrock Agents, Azure AI Agent Service, and Google Vertex AI Agents.
Enterprise Solutions
Full-stack platforms with governance, security, and compliance. Examples include Salesforce Agentforce, ServiceNow AI Agents, and IBM watsonx.
Top AI Agents Marketplaces & Directories
An AI agents marketplace aggregates pre-built agents from multiple vendors, making it easy to discover, compare, and deploy solutions. An AI agents directory serves a similar function, cataloging available agents with reviews, ratings, and feature comparisons. Here are the leading options in 2026:
| Marketplace | Agents Listed | Categories | Key Features |
|---|---|---|---|
| AI Agents Directory | 2,014+ | 72+ | Daily updates, ecosystem map, 493+ free agents |
| AI Agent Store | 500+ | 40+ | Reviews, ratings, agency directory, RFQ system |
| Google Cloud Marketplace | 1,000+ | Enterprise | Pre-vetted partners, Gemini integration, OpEx billing |
| AI Agents List | 600+ | 30+ | Free directory, pricing comparison, reviews |
| Fetch.AI | Varies | Multi-agent | Open marketplace, OpenAI/Meta/Gemini integration |
Directory Tip
The AI Agents Landscape Map provides an interactive ecosystem visualization updated daily. It categorizes agents by function, industry, and deployment model—invaluable for understanding the market structure.
Development Platforms Compared
For teams building custom AI agents software, the choice of development platform determines your flexibility, scalability, and time-to-market. According to Turing, the leading frameworks serve different use cases:
LangChain / LangGraphMost Popular
LangChain is the most widely adopted framework for AI agents, with 600+ integrations connecting to virtually every major LLM, tool, and database. LangGraph extends it with graph-based architecture for complex multi-step workflows.
Source: langchain.com
CrewAIBeginner Friendly
CrewAI uses a two-layer architecture with Crews (role-based collaboration) and Flows (event-driven orchestration). It provides 40+ third-party integrations and 100s of open-source tools out of the box.
Source: crewai.com
Microsoft AutoGenMulti-Agent Focus
AutoGen specializes in multi-agent conversations and asynchronous task execution. Its mix-and-match capability allows combining agents with different LLMs (OpenAI + Claude) and tools. Supports human-in-the-loop oversight patterns.
OpenAI Agents SDK11k+ GitHub Stars
Released March 2025, this lightweight Python framework focuses on multi-agent workflows with comprehensive tracing and guardrails. Provider-agnostic with support for 100+ different LLMs.
Quick Comparison
| Feature | LangChain | CrewAI | AutoGen | OpenAI SDK |
|---|---|---|---|---|
| Integrations | 600+ | 40+ | 50+ | 100+ LLMs |
| Multi-Agent | Via LangGraph | Native | Native | Native |
| Memory | Checkpointing | RAG Support | Conversation | Configurable |
| Scalability | Production | Team Scale | Small-Medium | Production |
| Human-in-Loop | ✓ | ✓ | ✓✓ | ✓ |
Decision Rule: As DataCamp summarizes: "AutoGen gives you the bricks, LangChain puts a toolkit on the table, and CrewAI lends you the crew and a mission briefing." Choose based on your need for flexibility vs. structure.
Open Source AI Agents Frameworks
Open source AI agents frameworks offer full customization, transparency, and freedom from vendor lock-in. According to AIMultiple Research, there are now over 50 open-source AI agent projects, with the ecosystem growing rapidly. For a deeper dive into building with these tools, see our guide on how to build AI agents.
Auto-GPT
160k+ StarsThe project that sparked mainstream interest in autonomous agents. Features recursive execution, persistent memory, and browser/file system access.
- • Fully autonomous task planning
- • Self-improving capabilities
- • Web browsing and file operations
SuperAGI
Production ReadyProduction-focused framework with GUI, multiple tool support, and enterprise-grade API integrations. Built for scaling.
- • Graphical interface included
- • Multiple memory systems
- • Marketplace for agent tools
BabyAGI
LightweightMinimal implementation demonstrating core agent concepts. Generates, prioritizes, and executes tasks in a learning loop.
- • Simple architecture to learn from
- • Task prioritization built-in
- • Excellent starter template
smolagents (HF)
Code-FirstHugging Face's radically simple approach. Agent writes and executes code to achieve goals with minimal orchestration overhead.
- • Minimal abstraction layer
- • Code execution focused
- • Hugging Face ecosystem integration
Benefits of Open Source
Note: While frameworks are free, you will incur costs for LLM API calls, cloud compute, and hosting. Plan your budget accordingly.
For a comprehensive list, see the Awesome AI Agents GitHub repository maintained by e2b.dev.
Free AI Agents Tools
Looking for free AI agents you can use today? The AI Agents Directory lists 493+ free agents across categories from coding to customer service. Here is how to find and use free options:
Free Agent Categories
Notable Free Options
OpenCode
Open source AI coding agent with 70,000+ GitHub stars. Used by 650,000+ developers monthly. Works in terminal, IDE, or desktop.
opencode.ai →Auto-GPT
The framework is free but requires LLM API costs. Self-host to control expenses. Ideal for experimentation with autonomous systems.
GitHub →Flowise / Langflow
Open-source visual builders for LLM workflows and agents. Drag-and-drop interfaces for non-developers. Self-hostable.
flowiseai.com →Important Cost Consideration
"Free" typically refers to the platform/framework itself. Most AI agents require LLM API calls (OpenAI, Anthropic, etc.) which are billed by token usage. Budget $20-100/month for light experimentation. Enterprise usage can reach thousands monthly.
Enterprise Platform Solutions
For organizations requiring governance, security, and compliance, enterprise AI agents platforms provide managed infrastructure with SLAs. According to Sana Labs, the enterprise segment is growing at 45.8% CAGR through 2034. Learn more about enterprise deployments in our guide on AI agents for business, or dive deeper into enterprise AI agents.
| Platform | Focus Area | Key Capabilities | Best For |
|---|---|---|---|
| Salesforce Agentforce | CRM & Sales | Native CRM integration, Data Cloud, Einstein AI | Sales teams, existing SF customers |
| ServiceNow AI Agents | IT & Employee Service | Moveworks acquisition, IT/HR automation | IT service desks, employee support |
| IBM watsonx | Industrial & Enterprise | Legacy system compatibility, predictive maintenance | Manufacturing, regulated industries |
| Microsoft Copilot Studio | Productivity & M365 | Office 365 integration, Azure infrastructure | Microsoft shops, knowledge workers |
| Google Vertex AI Agents | Cloud & Data | Gemini models, BigQuery integration, Marketplace | GCP users, data-intensive workloads |
| AWS Bedrock Agents | Cloud Infrastructure | Multi-model support, Lambda integration | AWS customers, multi-model needs |
Enterprise Decision Factors
How to Choose the Right Platform
Selecting the right AI agents platform depends on your technical capabilities, budget, and specific use case. According to AI Agents Directory, consider these factors:
1Assess Your Technical Expertise
2Define Your Use Case
| Use Case | Recommended Platform Type |
|---|---|
| Customer support automation | Zendesk, Intercom, or dedicated CX platforms |
| Code generation & review | GitHub Copilot, Cursor, OpenCode |
| Sales pipeline automation | Salesforce Agentforce, HubSpot AI |
| Custom multi-agent workflows | CrewAI, LangGraph, AutoGen |
| Knowledge discovery | Glean, Moveworks |
3Evaluate Total Cost
Even open-source tools incur costs. Factor in:
Quick Decision Guide
Frequently Asked Questions
What is an AI agents marketplace?
An AI agents marketplace is a platform where developers and businesses can discover, compare, and deploy pre-built AI agents. These marketplaces aggregate agents from various vendors, provide reviews and ratings, and often include deployment tools. Popular examples include AI Agents Directory with 2,000+ agents, Google Cloud AI Agent Marketplace, and AI Agent Store.
What are the best free AI agents tools?
The best free AI agents tools include open-source frameworks like LangChain, CrewAI, and AutoGen for building agents. For ready-to-use agents, AI Agents Directory lists 493+ free options. Auto-GPT and BabyAGI are free autonomous agent frameworks. Note that while frameworks are free, you may incur costs for LLM API calls.
How do I choose an AI agents platform?
Choose an AI agents platform based on: your technical expertise (no-code vs developer frameworks), required integrations and tools, scalability needs, budget (open-source vs enterprise), security and compliance requirements, and support level. Enterprise users should evaluate platforms like Salesforce Agentforce or ServiceNow AI Agents, while developers may prefer LangChain or CrewAI.
What are the top open source AI agents frameworks?
The top open source AI agents frameworks in 2026 are: LangChain/LangGraph (600+ integrations, most widely adopted), CrewAI (role-based multi-agent collaboration), Microsoft AutoGen (multi-agent conversations), Auto-GPT (autonomous task execution with 160k+ GitHub stars), and smolagents from Hugging Face. All are free to use but require LLM API costs.
What is the difference between an AI agents platform and marketplace?
An AI agents platform is where you build and deploy agents (like LangChain, CrewAI, or Azure AI Agent Service). A marketplace is where you discover and purchase pre-built agents (like Google Cloud Marketplace or AI Agent Store). Platforms provide development tools, while marketplaces offer ready-made solutions. Many enterprise vendors now offer both.
Ready to Deploy AI Agents?
Whether you choose an AI agents marketplace for quick deployment, build custom solutions with open source frameworks, or leverage enterprise platforms, the key is starting small and iterating.