AgentX
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About
AgentX is a comprehensive platform designed for building, training, and deploying sophisticated AI agent workforces. Launched in 2023 by Silicon Valley entrepreneurs, it simplifies the transition from simple chatbots to autonomous multi-agent systems. The platform allows users to leverage a variety of large language models from different vendors, including OpenAI’s GPT-4o, Anthropic’s Claude 3.5, and Google’s Gemini, as well as open-source models like Llama and DeepSeek. By orchestrating these agents into a unified workforce, businesses can automate complex workflows that require specialized skills, such as data extraction, lead generation, and real-time information retrieval. The platform operates on a no-code philosophy but provides advanced tools for technical users. Building an agent involves defining its identity, equipping it with specific knowledge bases through RAG (Retrieval-Augmented Generation), and assigning specific actions or skills. These skills can range from basic API calls to complex tasks like managing Google Calendars or processing leads into CRMs like HubSpot and Wix. A standout feature is the integration of the Model Context Protocol (MCP), which enables agents to connect securely to various data sources and tools. For businesses with strict compliance needs, AgentX also supports on-premise deployment, allowing agents and local models like Llama or Qwen to run entirely on private servers. AgentX is primarily suited for business owners, marketing teams, and developers looking to scale customer interaction and internal operations. It serves as a bridge between high-level AI capabilities and practical business channels, supporting deployment to websites via JS snippets, or directly into communication platforms like Slack, Discord, and WhatsApp Business. Beyond text, the agents support image generation via Stable Diffusion or Flux and can understand voice input in over 90 languages. This makes it a versatile solution for global companies needing multilingual support or creative agencies looking to automate content production. What distinguishes AgentX from standard chatbot builders is its focus on the multi-agent ecosystem and vendor neutrality. Instead of being locked into a single model, users can mix and match LLMs based on cost-efficiency and performance requirements. The Agent Space community portal offers a unique environment to browse and test agents created by others, much like a marketplace or video platform. Furthermore, the inclusion of built-in lead generation tools and detailed performance analytics ensures that the AI's impact on business goals—such as increasing sales or productivity—can be measured and optimized continuously.
Pros & Cons
Supports voice recognition and understanding for over 90 different languages.
Provides flexibility to select from top-tier models including GPT-4o, Claude, Gemini, and Llama.
Offers on-premise deployment options for enterprises with high security and data compliance needs.
Features built-in image generation capabilities using Flux and Stable Diffusion models.
Integrates seamlessly with major CRMs like HubSpot and Wix for automated lead management.
Advanced models like Llama 3.1 405B consume 5 times more credits than basic models per interaction.
Dedicated support with a Service Level Agreement (SLA) is only available on high-tier plans.
The Hobby plan is limited to 250 credits per month, which may restrict high-traffic experimentation.
Use Cases
Customer Support Teams can deploy AI chatbots to WhatsApp or Slack to handle common inquiries and automate ticketing.
Sales Professionals can use the built-in lead generator to collect prospect data and sync it automatically with HubSpot.
Enterprise IT Managers can deploy specialized agents on-premise to ensure data compliance while accessing internal knowledge bases.
Content Creators can build agents equipped with Flux or Stable Diffusion to generate custom images and content reports.
Real Estate Agents can create website chatbots to handle property inquiries and schedule viewings via Google Calendar integration.
Platform
Task
Features
• multi-channel deployment
• on-premise deployment
• no-code agent builder
• retrieval-augmented generation (rag)
• lead generation tools
• multi-model llm access
• model context protocol (mcp)
• voice recognition (90+ languages)
FAQs
Do I need coding skills to build an AI chatbot with AgentX?
No coding skills are required to build and tune AI agents on AgentX. The platform provides a no-code solution using natural language, though advanced tools are available for developers who want to write custom scripts for API integrations.
What channels can I deploy my agent to?
Agents can be deployed as a website widget by copying a JavaScript snippet into your site's HTML. Additionally, AgentX supports integration with popular platforms like Slack, Discord, and WhatsApp Business.
Which AI models are supported by the platform?
AgentX provides access to a wide range of models including GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, and Llama 3.1. Users can also add image generation capabilities using Stable Diffusion XL or Flux models.
Can I deploy AgentX on my own server?
Yes, AgentX offers on-premise deployment options to meet strict data privacy and compliance requirements. This setup allows for offline support using local models like Llama, DeepSeek, or Qwen.
How many languages does the tool support?
The AI agents can understand and interact in over 80 languages via text and over 90 languages through voice input. This wide support makes the platform suitable for international businesses and global customer support.
How does the usage credit system work?
Credit consumption depends on the complexity of the model used; for example, GPT-4o mini costs 1 credit per interaction while Llama 3.1 405B costs 5. Image generation also varies, costing 3 credits for Stable Diffusion and 5 for Flux.
Can I use AgentX for lead generation?
Yes, the platform includes a built-in lead generator that can collect user information like emails. These leads can then be automatically synced to external CRMs such as HubSpot, Wix, or ActiveCampaign via Zapier.
Pricing Plans
Startup
USD45.00 / per month• 2,500 credits/month
• 5 Active Agents
• 1 Team seat included
• Access to all LLMs
• Lead generator
• Toolbox
• MCP Servers
• Gmail / Google Calendar integration
• Basic email support
• Remove branding
Pro
USD99.00 / per month• 15,000 credits/month
• 25 active agents
• 2 Team seats included
• Access to all LLMs
• Lead generator
• Toolbox
• MCP Servers
• High Concurrency
• Priority email support
• Remove branding
Scale
USD699.00 / per month• 60,000 credits/month
• 100 Active Agents
• 3 Team seats included
• Access to all LLMs
• Lead generator
• Toolbox
• MCP Servers
• Prioritized Concurrency
• Dedicated support with SLA
• Remove branding
Enterprise
USD1500.00 / per month• Security compliance
• Health monitoring & backups
• Single Sign-On (SSO)
• On premise deployment
• Dedicated support
• Annual commitment required
Hobby
Free Plan• 250 credits/month
• 3 Active Agents
• 1 Team seat included
• Access to all LLMs
• Lead generator
• Toolbox
• MCP Servers
• Website Chatbot deployment
• Social Chat App deployment
• API Access
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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