Top 5 No-Code Agent Builder Tools in 2025: Build and Evaluate AI Agents Without Writing Code

TL;DR: No-code agent builders have democratized AI development in 2025, enabling teams to create sophisticated AI agents in hours instead of months. This guide explores the top 5 platforms and shows how to evaluate agents built on these tools using Maxim AI's HTTP endpoint evaluation, ensuring production readiness before deployment.

Table of Contents

1. The No-Code Agent Revolution
2. Why Evaluation Matters
3. Top 5 No-Code Agent Builders
4. Evaluating Your No-Code Agents with Maxim
5. Choosing the Right Tool
6. Get Started

The No-Code Agent Revolution

The AI agent landscape has transformed dramatically in 2025. What once required deep technical expertise in LangChain or LlamaIndex can now be accomplished through visual interfaces and drag-and-drop builders. The AI agent builder market is growing by 45% annually, driven by platforms that reduce development time from months to hours.

However, building an agent quickly doesn't guarantee it performs reliably. This is where AI evaluation becomes critical. Every agent needs rigorous testing across scenarios and quality metrics before serving real users.

The key advantage of modern no-code builders is that they all expose HTTP endpoints or webhooks, making them perfect for evaluation through platforms like Maxim AI. By connecting your agent's endpoint to Maxim, you can run comprehensive simulations, measure quality across multiple dimensions, and ensure production readiness without additional development work.

Why Evaluation Matters

LLMs are non-deterministic by nature, meaning the same prompt can produce different outputs. Without systematic evaluation, you cannot guarantee consistent behavior in production. Quality assurance addresses several critical concerns:

Reliability: Ensuring your agent handles expected queries correctly and consistently across executions.

Edge Cases: Validating behavior with ambiguous inputs, unexpected scenarios, and boundary conditions that break poorly tested agents.

Performance Regression: Catching quality degradation when you iterate on prompts, switch models, or add new capabilities.

Production Readiness: Measuring task completion rates, response quality, latency, and cost before exposing agents to customers.

As demonstrated in guides like building an event discovery agent with n8n and evaluating a Reddit insights agent with Gumloop, systematic evaluation using Maxim transforms prototype agents into production-ready systems.

Top 5 No-Code Agent Builders

1. n8n - The Workflow-First AI Agent Platform

n8n is an open-source workflow automation platform with over 160,000 GitHub stars that uniquely combines traditional business process automation with advanced AI agent capabilities.

Key Strengths:

• Visual node-based workflow builder with 400+ pre-built integrations
• Multi-LLM support (OpenAI, Anthropic, Google Gemini, and more)
• Self-hosting option for data sovereignty requirements
• Built-in conversation memory for context retention
• Human-in-the-loop controls for enterprise compliance

Best For: Teams needing powerful workflow automation combined with AI capabilities, especially those requiring transparent, auditable agent logic.

Pricing: Free (self-hosted), $20/month (Cloud Starter), $50+/month (Cloud Pro)

Maxim Integration: n8n agents expose webhook endpoints that connect directly to Maxim for evaluation. Configure your webhook with authentication headers, map request/response fields, and run simulations using evaluators like Agent Trajectory, Task Success, and Response Coherence. You can also use the Maxim AI Community Node in n8n to evaluate your Agentic Workflows on Maxim.

2. Gumloop - Modular Agent Workflows Made Simple

Gumloop is a node-based visual workflow builder specifically designed for creating AI-powered automation with a focus on data research and insights generation.

Key Strengths:

• Intuitive visual canvas with modular node architecture
• Error Shield nodes for graceful failure handling
• Built-in Reddit and social media scrapers
• Subflow organization for complex agent logic
• Easy deployment as interfaces or webhooks

Best For: Building research and insights agents that gather and synthesize information from diverse sources like Reddit, forums, and social platforms.

Pricing: Free credits to start, $29+/month for Pro tier

Maxim Integration: Gumloop's webhook returns a run_id initially. Use Maxim's postscript function to poll for completion, then evaluate outputs using Clarity, Conciseness, and Coherence evaluators as shown in the Gumloop Reddit insights tutorial.

3. MindStudio - Rapid Prototyping for Business Users

MindStudio focuses on enabling non-technical business users to create custom AI-powered tools in under an hour, with 100+ pre-built templates and natural language agent creation.

Key Strengths:

• Natural language agent builder (describe in plain English)
• 100+ pre-built business templates
• Average build time of 15 minutes to 1 hour
• Multi-modal support (text, images, voice)
• SOC 2 and GDPR compliant for enterprise security

Best For: Non-technical teams needing to go from idea to working agent extremely quickly, prioritizing speed over complex customization.

Pricing: Free tier available, $49/month (Professional), $149/month (Team)

Maxim Integration: MindStudio provides direct API endpoints with simple authentication. Configure the endpoint in Maxim, create business-focused test datasets, and evaluate using quality and task success metrics.

4. Lindy - AI Automation for Non-Technical Teams

Lindy is specifically designed for business operations teams (marketing, sales, HR, customer support) who want to automate daily workflows without engineering dependencies.

Key Strengths:

• 4,000+ app integrations via Zapier-style connections
• Pre-built AI actions for scheduling, tickets, email drafting
• Natural language agent creation
• SOC 2 and HIPAA compliance for regulated industries
• Multi-agent coordination capabilities

Best For: Business operations teams automating sales, support, HR, and marketing workflows with extensive third-party integrations.

Pricing: Free tier, $99/month (Pro), $249/month (Team)

Maxim Integration: Lindy's webhook endpoints connect easily to Maxim. Focus evaluation on integration reliability, data accuracy from connected systems, and multi-step workflow completion using agent evaluation metrics like Task Success and Step Completion.

5. Relevance AI - Multi-Agent Orchestration Platform

Relevance AI focuses on teams building complex, multi-agent systems where specialized agents collaborate on sophisticated workflows.

Key Strengths:

• Native multi-agent orchestration and coordination
• Integrated vector database for knowledge retention
• Real-time visualization and performance monitoring
• Custom logic builder with visual conditions and triggers
• Advanced context management across agent interactions

Best For: Technical teams or fast-growing startups building complex, multi-agent systems requiring sophisticated coordination and knowledge management.

Pricing: $199/month (Starter), $499/month (Professional), custom enterprise pricing

Maxim Integration: Evaluate multi-agent systems using specialized evaluators that assess Agent Handoff Quality, Information Retention across agents, Task Distribution, and System Coherence as outlined in evaluation workflows for AI agents using HTTP endpoints.

Evaluating Your No-Code Agents with Maxim

Regardless of which no-code builder you choose, the evaluation process with Maxim follows a consistent workflow:

graph LR
    A[Build Agent] -->|Deploy| B[Get HTTP Endpoint]
    B -->|Configure| C[Maxim Workflows]
    C -->|Test Dataset| D[Run Simulations]
    D -->|Quality Metrics| E[Evaluation Report]
    E -->|Iterate| A

Step 1: Deploy and Get Endpoint

Build your agent on any platform and obtain the API endpoint URL plus authentication credentials.

Step 2: Configure Maxim Workflow

In Maxim's dashboard, create an HTTP endpoint workflow with your agent's URL, headers (store tokens in Maxim Vault for security), and request/response mapping.

Step 3: Create Test Datasets

Build comprehensive test scenarios covering common queries, edge cases, multi-turn conversations, and expected behaviors.

Step 4: Select Evaluators

Choose from Maxim's evaluator store or create custom evaluators:

• Agent Trajectory: Validates logical reasoning flow
• Task Success: Measures end-to-end goal completion
• Step Completion: Verifies required sub-tasks execution
• Response Quality: Assesses clarity, conciseness, coherence
• Bias Detection: Identifies potential fairness issues

Step 5: Run Simulations

Execute test runs across your dataset, simulating real user interactions at scale.

Step 6: Analyze and Iterate

Review detailed reports showing pass/fail rates, specific failure cases with explanations, and actionable recommendations for improvement.

This process, extensively documented in AI agent quality evaluation guides, enables rigorous quality assurance for any no-code agent before production deployment.

Choosing the Right Tool

Choose n8n if you need powerful workflow capabilities, self-hosting, and transparent agent logic.

Choose Gumloop if you're building research and insights agents with extensive automation and scraping requirements.

Choose MindStudio if speed is critical and your team is entirely non-technical.

Choose Lindy if you need massive integration options (4,000+ apps) for business operations.

Choose Relevance AI if you're building sophisticated multi-agent systems requiring coordination.

All five platforms integrate seamlessly with Maxim AI for comprehensive evaluation through HTTP endpoints.

Get Started

The democratization of AI agent development through no-code platforms has changed who can build AI systems. However, this accessibility introduces a critical responsibility: ensuring quality before deployment.

The combination of no-code builders for speed and Maxim AI for quality assurance provides the complete solution. Every platform generates HTTP endpoints that connect directly to Maxim for rigorous evaluation, enabling you to:

• Build using the no-code tool that fits your use case
• Evaluate using Maxim's simulation and testing infrastructure
• Deploy with confidence knowing your agent is production-ready
• Monitor production performance using Maxim's observability suite
• Iterate based on data-driven insights from evaluation reports

Ready to build and evaluate your first no-code agent?

1. Select your builder based on the comparison above
2. Build your agent following platform-specific tutorials
3. Sign up for Maxim AI (get started free)
4. Connect your agent's HTTP endpoint to Maxim
5. Create test datasets and run simulations
6. Iterate based on evaluation insights
7. Deploy with confidence

The future of AI development is no-code. The future of AI quality is systematic evaluation. Together, they enable teams of any size to build production-grade AI agents that deliver real business value.

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