No-Code AI Agents
Build powerful, autonomous AI agents through natural conversation. No coding required—just describe what you need.
What are DruidX AI Agents?
DruidX AI agents are autonomous systems that plan, reason, and execute multi-step tasks without coding. Built through conversational configuration, agents use a LangGraph-powered architecture with intelligent planning, context gating between steps, and access to 100+ AI models and tools. Unlike simple chatbots, DruidX agents can conduct research, automate workflows, answer from your documents with citations, and integrate with external services like Gmail, Slack, and Salesforce—all configured in minutes by describing what you need in plain English.
Build Agents in 3 Steps
Creating a powerful AI agent takes minutes, not months.
Describe Your Agent
Tell DruidX what you want in plain English:
Connect Your Data
Upload documents and connect tools:
- Upload PDFs, DOCX, TXT files
- Connect Gmail, Slack, Salesforce
- Enable web search if needed
Deploy & Assign
Your agent is ready instantly:
- Assign to team members
- Track conversations & usage
- Iterate based on feedback
Agent Capabilities
DruidX agents are powered by a sophisticated multi-step architecture that enables autonomous task execution.
Conversational Building
Describe your agent in plain English. DruidX interprets your requirements and configures the optimal setup automatically.
Intelligent Planning
Agents use a sophisticated LangGraph-powered planner to decompose complex tasks into executable steps.
Multi-Step Execution
Autonomous task execution with context gating between steps. Agents plan, validate, and synthesize results.
Auto Model Selection
DruidX automatically selects the best AI model for each task type—coding, writing, research, or general use.
Built-in Validation
The orchestrator validates outputs at each step, ensuring quality through 2-4 LLM calls per step.
Real-time Streaming
Responses stream in real-time via SSE. Users see thinking traces, tool executions, and results as they happen.
Popular Use Cases
See how teams use DruidX agents to automate workflows and scale operations.
Customer Support Agent
Build a support agent that answers questions from your knowledge base, handles tickets, and escalates when needed.
"Create a customer support agent that uses our docs to answer questions and creates tickets in Zendesk when it can't help."
Research Assistant
Create an agent that conducts deep research across the web, synthesizes findings, and generates comprehensive reports.
"Build a research agent that analyzes competitor products and generates weekly market intelligence reports."
Data Analysis Agent
Deploy an agent that queries your databases, analyzes trends, and presents insights in visual dashboards.
"Create an agent that connects to our Salesforce and generates sales forecasts every Monday."
Onboarding Assistant
Build an agent that guides new employees through company processes, answers HR questions, and schedules training.
"Build an HR agent that helps new hires with onboarding questions using our employee handbook."
Enterprise-Grade Architecture
DruidX uses a LangGraph-powered state machine for sophisticated multi-step task execution.
Planner
Analyzes query and creates execution plan with task decomposition
Orchestrator
Routes tasks to specialized nodes with validation loops
Agent Nodes
Specialized nodes for LLM, RAG, Search, Image, Video, Tools
Synthesizer
Compiles final response from all step outputs with citations
Frequently Asked Questions
Everything you need to know about building AI agents with DruidX
An AI agent is an autonomous system that can plan, reason, and execute multi-step tasks without constant human input. Unlike simple chatbots that only respond to questions, DruidX agents can break down complex goals, use external tools (like email or databases), gather information from multiple sources, and synthesize comprehensive outputs—all automatically.
You describe what you want in plain English—like 'Create a customer support agent that answers questions from our docs and escalates to Slack when unsure.' DruidX's AI interprets your requirements, selects the appropriate AI model, configures tool access, sets up the knowledge base, and creates the agent automatically. No coding, no workflow diagrams.
ChatGPT and Claude are conversational AI—they respond to individual prompts. DruidX agents are autonomous systems that can: (1) Execute multi-step workflows without human intervention, (2) Use external tools like email, databases, and APIs, (3) Access your company's knowledge base with citations, (4) Be assigned to team members with usage tracking, and (5) Switch between 100+ AI models based on the task.
Yes. DruidX supports 100+ native integrations via MCP (Model Context Protocol), including Gmail, Slack, GitHub, Salesforce, Google Sheets, and more. Agents can read emails, send messages, create tickets, update databases, and execute API calls as part of their workflows.
DruidX uses a sophisticated LangGraph-based architecture with: (1) A Planner that decomposes queries into steps, (2) An Orchestrator that routes tasks to specialized nodes (RAG, Web Search, Tools, etc.), (3) Context gating that controls information flow between steps, and (4) A Synthesizer that compiles the final response. This allows agents to tackle research, analysis, and automation tasks that span multiple tools and data sources.
DruidX provides access to 100+ AI models including: OpenAI (GPT-4o, GPT-4 Turbo), Anthropic (Claude 3.5 Opus, Sonnet, Haiku), Google (Gemini 2.5 Pro, Flash), Meta (Llama 3.3 70B), DeepSeek R1 for extended reasoning, Groq for ultra-fast inference, and many more. You can let DruidX auto-select the best model or specify one manually.
Most agents can be built in 5-15 minutes using conversational configuration. Describe what you need, upload your documents (if using RAG), connect your tools, and your agent is ready. Complex agents with custom workflows may take 30-60 minutes, but still require no coding.
Yes. While DruidX handles most configuration automatically, you can: (1) Add custom instructions and system prompts, (2) Specify which AI models to use, (3) Configure tool access and permissions, (4) Set temperature and other model parameters, (5) Define custom validation rules, and (6) Create specialized agent personas.
DruidX uses enterprise-grade RAG (Retrieval-Augmented Generation) with hybrid search combining dense (semantic) and sparse (keyword) embeddings. Upload PDFs, DOCX, TXT, or other files—DruidX chunks, embeds, and indexes them automatically. Agents then search this knowledge base and include citations in their responses.
Limits depend on your plan: Growth (5 agents), Scale (25 agents), Enterprise (unlimited). All plans include pay-as-you-go credits for AI model usage, so you only pay for what your agents consume.
Yes. DruidX is built for teams. You can create agents for specific roles or departments, assign them to team members, track usage per user, and view conversation history. This makes DruidX ideal for agencies, enterprises, and distributed teams.
DruidX is designed for enterprise security: SOC 2 Type II compliant infrastructure, role-based access control (RBAC), encrypted data at rest and in transit, MCP integrations for secure tool connections, and optional on-premise deployment for Enterprise plans.
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