11 Best Agentic AI Tools for 2026

1. Gumloop

Gumloop is a no-code agentic AI platform for building, deploying, and managing AI-powered workflows without writing code. It combines AI agents, workflow automation, and integrations on a visual drag-and-drop canvas, so teams can automate repetitive processes across many applications. Its agents reason through tasks, choose the right tools, and adapt their actions to the objective rather than following rigid rules.

• Visual AI workflow builder: Build agentic workflows with drag-and-drop, no programming required.
• Autonomous AI agents: Plan tasks, select tools, and execute multi-step workflows with minimal oversight.
• Multi-agent orchestration: Design workflows where several agents collaborate on complex objectives.
• Extensive integrations: Connect with 150+ applications, including Slack, Gmail, Notion, Salesforce, Google Workspace, and HubSpot.
• Multi-model AI support: Choose from leading models such as GPT, Claude, Gemini, and DeepSeek without lock-in.
• Enterprise-grade security: Role-based access, audit logging, SSO, SOC 2 Type II, GDPR compliance, and optional VPC deployment.

Best for: Teams and enterprises building no-code AI agents for workflow automation, operations, sales, support, and internal processes.

Pricing: A free plan with monthly credits, a paid Pro tier, and Enterprise pricing on request.

2. CrewAI

CrewAI is an open-source agentic AI framework for building and orchestrating collaborative agents on complex, multi-step workflows. Instead of relying on a single model, CrewAI lets multiple specialized agents work together, each with a defined role, goal, and set of responsibilities. A visual studio helps design, deploy, monitor, and manage agentic workflows from development to production.

• Multi-agent collaboration: Specialized agents take distinct roles and tasks to solve complex objectives.
• Workflow orchestration: Coordinates sequential and parallel workflows, with autonomous planning and hand-offs.
• Visual workflow builder: Drag-and-drop studio to create, test, and deploy workflows with minimal setup.
• Flexible LLM support: Works with multiple large language models to fit the use case.
• Built-in observability: Tracing, monitoring, performance metrics, and guardrails to optimize agent behavior.
• Human-in-the-loop: Review, approve, or intervene in workflow execution when needed.

Best for: Developers and enterprises building collaborative, multi-agent applications and production-ready agentic systems.

Pricing: The open-source framework is free. CrewAI adds a free cloud plan capped at 50 workflow executions per month, with Enterprise pricing based on deployment and usage.

3. TestMu AI

TestMu AI (Formerly LambdaTest) is an AI-native, agentic quality engineering platform that helps teams build, execute, and optimize software testing workflows using autonomous AI agents. At its core is KaneAI, a GenAI-native testing agent that lets teams plan, author, execute, and maintain test cases from natural-language prompts rather than hand-written scripts. It turns PRDs, Jira tickets, and recordings into executable tests and self-heals them as the application changes.

Beyond test generation, the platform adds specialized agents for visual testing, root cause analysis, and agent testing, where AI agents evaluate other AI agents such as chatbots and voice assistants. Those agents run on the same test automation cloud as the rest of the suite.

• AI-native testing agent: KaneAI generates, executes, and maintains tests from natural-language prompts, cutting authoring time from hours to minutes.
• Agent testing: AI agents test and evaluate other AI agents to validate behavior, safety, reasoning, and performance.
• End-to-end quality engineering: AI-powered test creation, execution, management, visual testing, and analytics in one platform.
• Autonomous testing workflows: Specialized agents for auto-healing, root cause analysis, visual validation, and test insights.
• Large-scale cloud testing: Runs across 10,000+ real devices and 3,000+ browser and OS combinations for cross-browser and cross-device coverage.
• Fast test orchestration: HyperExecute runs tests in parallel to reduce overall testing time.

Best for: QA teams, developers, and enterprises automating software quality engineering with AI agents for test creation, execution, agent evaluation, and continuous testing.

Pricing: A Free Forever plan is available, with paid tiers for live testing, automation, HyperExecute, and AI capabilities, plus enterprise deployments priced on requirements.

4. LangGraph

LangGraph is an open-source agent orchestration framework from LangChain for building reliable, stateful AI agents that handle complex, multi-step workflows. Instead of simple prompt-response interactions, it models agent workflows as graphs, so agents can reason, keep context, collaborate, and make decisions across multiple stages, with fine-grained control over behavior.

• Stateful agent workflows: Agents retain context and memory across interactions for long-running, multi-step tasks.
• Flexible orchestration: Supports single-agent, multi-agent, and hierarchical workflows with custom execution paths.
• Human-in-the-loop support: Review, approve, or modify agent actions at critical stages.
• Persistent memory: Stores conversation history and workflow state for context-aware, personalized experiences.
• Real-time streaming: Streams responses and intermediate actions as they happen.
• Model flexibility: Works with multiple LLM providers to fit different use cases.

Best for: Developers and enterprises building production-ready agents that need advanced orchestration, persistent memory, human oversight, and complex multi-agent workflows.

Pricing: The core framework is free and open source under the MIT license. Managed deployment through the LangChain platform adds a free Developer plan, a per-seat Plus tier billed with usage, and Enterprise pricing on request.

5. AutoGen (AG2)

AG2 (formerly AutoGen) is an open-source agentic AI framework for building, orchestrating, and deploying production-ready AI agents. Created by the original contributors behind Microsoft's AutoGen project, AG2 adds orchestration, observability, persistent workflows, and enterprise-ready capabilities. It supports single-agent and multi-agent systems that collaborate, use external tools, execute code, and incorporate human feedback.

• Multi-agent collaboration: Agents communicate and coordinate through structured patterns, including group chats, sequential workflows, and swarm orchestration.
• Production-ready orchestration: An AgentOS architecture with workflow orchestration, persistent conversations, state management, and managed execution.
• Human-in-the-loop workflows: Configurable approval steps and user intervention to guide agent decisions.
• Broad LLM and tool support: Integrates with multiple models and lets agents use external APIs, databases, tools, and code execution.
• Built-in observability: Tracing, monitoring, and debugging to inspect conversations and optimize performance.

Best for: Developers and enterprises building production-grade multi-agent systems that need advanced orchestration, tool integration, human oversight, and scalable deployment.

Pricing: The AG2 framework is free and open source under the Apache 2.0 license. Enterprise offerings, including AgentOS, Studio, and managed deployments, are available with custom pricing.

6. n8n

n8n is an open-source workflow automation platform that pairs AI agents with low-code automation to build intelligent, production-ready workflows. Its visual builder lets users create agents that reason through tasks, interact with external tools, and automate processes across hundreds of applications, blending deterministic workflows with AI-driven decision-making. See how QA teams put it to work in n8n automation testing.

• Visual AI workflow builder: Drag-and-drop interface to design and manage complex workflows with minimal coding.
• Agentic workflow automation: Agents plan tasks, use memory, call external tools, and execute multi-step workflows.
• 500+ integrations: Connect agents to business apps, databases, APIs, vector stores, and MCP servers.
• Flexible AI model support: Integrates with leading LLM providers without vendor lock-in.
• Human-in-the-loop controls: Approval steps, validation rules, and fallback logic keep agents within business requirements.
• Open-source and self-hostable: Deploy on your own infrastructure for control over data, security, and compliance, or use managed cloud.
• Built-in monitoring: Track execution, inspect logs, and evaluate workflows to improve reliability.

Best for: Developers, automation engineers, and technical teams building AI-powered workflows with extensive integrations and self-hosting.

Pricing: n8n ships a free Community Edition for self-hosting and a 14-day free trial of its cloud platform. Paid cloud plans run from Starter through Pro, Business, and Enterprise for larger teams.

7. Flowise AI

Flowise AI is an open-source, low-code platform for building AI agents and LLM-powered applications through a visual drag-and-drop interface. It supports single-agent and multi-agent workflows spanning AI assistants, chatbots, retrieval-augmented generation (RAG) apps, and agentic workflows, with the option to self-host or use managed cloud.

• Visual AI agent builder: Design agents and LLM workflows with a drag-and-drop interface.
• Multi-agent orchestration: Build single-agent and multi-agent systems with Agentflow.
• Broad workflow support: Create AI assistants, RAG pipelines, and chatbots from one platform via Assistant, Chatflow, and Agentflow builders.
• Human-in-the-loop: Approval steps and human intervention for reliability and governance.
• Broad integrations: Connect with 100+ data sources, APIs, vector databases, memory systems, and external tools.
• Observability and evaluations: Tracing, analytics, debugging, and built-in evaluation to optimize agent performance.

Best for: Developers, AI engineers, and enterprises building and managing agents, RAG applications, and multi-agent workflows with a flexible visual platform.

Pricing: Free and open source for self-hosted deployments. The managed Cloud offering adds a Free plan, paid Starter and Pro tiers, and Enterprise with custom pricing.

8. ChatGPT Agent

ChatGPT Agent is OpenAI's agentic mode inside ChatGPT that performs tasks directly on the web using its own browser. OpenAI describes it as a natural evolution of Operator and deep research, combining Operator's ability to scroll, click, and type on the web with deep research's ability to analyze and summarize, and it sunset the Operator research preview after launch.

Rather than relying solely on APIs, ChatGPT Agent interacts with interfaces like a human, typing, clicking, scrolling, and filling forms. It combines vision with reasoning to navigate sites, adapt to changing interfaces, and self-correct.

• Browser-based task automation: Fills forms, makes reservations, shops online, and navigates sites without custom API integrations.
• Computer-Using Agent (CUA): Combines visual understanding with reasoning to interpret pages and interact with on-screen elements.
• Deep Research browsing: Runs multi-step research across many sources and synthesizes the findings into a structured answer.
• Human-in-the-loop controls: Requests approval before sensitive actions and hands back control for logins, payments, or CAPTCHAs.
• Autonomous reasoning and self-correction: Plans multi-step actions, detects errors, and adjusts to complete the objective.

Best for: Individuals and professionals who want an agent to automate browser-based tasks such as research, bookings, form filling, and shopping inside ChatGPT.

Pricing: ChatGPT Agent runs as agent mode inside ChatGPT, so access comes with a paid ChatGPT subscription. It is available to Plus, Pro, Team, and Enterprise users, with higher tiers getting more usage.

9. Manus AI

Manus AI is a general-purpose agentic AI platform that completes complex digital tasks end to end with minimal supervision. From a single objective it can conduct web research, create presentations, build websites, and produce structured reports. It pairs reasoning with a browser operator so it can act on the web as part of a longer task.

• Autonomous task execution: Breaks high-level goals into steps, plans the workflow, and executes with minimal input.
• Browser automation: Navigates sites, gathers information, and fills forms as part of end-to-end workflows.
• Research and analysis: Conducts in-depth research, synthesizes multiple sources, and delivers structured reports.
• Code generation and execution: Writes, debugs, and runs code for software and technical projects.
• Content and asset creation: Produces presentations, documents, spreadsheets, and websites from a single prompt.
• File management: Organizes, edits, analyzes, and transforms uploaded documents within its workflow.

Best for: Professionals, researchers, developers, and business teams wanting a general-purpose agent for research, content creation, coding, and data analysis.

Pricing: A Free plan is available with daily usage credits. Paid tiers add monthly credits, greater concurrency, and advanced capabilities.

10. Lindy AI

Lindy AI is a no-code agentic AI platform for creating AI-powered assistants, called Lindies, that automate everyday business tasks. These agents manage emails, schedule meetings, qualify leads, conduct research, and handle support with minimal human intervention. Using natural-language instructions and a visual builder, users build autonomous agents that integrate with popular workplace applications and run around the clock.

• No-code AI agent builder: Create custom agents with natural language and a visual workflow builder.
• Autonomous workflow automation: Manage emails, schedule meetings, follow up with contacts, and run repetitive admin tasks.
• AI employee templates: Prebuilt agents for sales, support, recruiting, and executive assistance.
• Extensive integrations: Connect with Gmail, Google Calendar, Slack, Notion, HubSpot, Salesforce, Zoom, and more.
• Computer use capabilities: Agents interact with websites and web apps to complete browser-based tasks.
• Human approval workflows: Approval steps before agents perform sensitive actions keep processes under control.

Best for: Individuals and business teams automating email, scheduling, lead qualification, and support without writing code.

Pricing: A 7-day free trial gives full access to Plus features. Paid tiers run Plus, Pro (adding computer use and model selection), and Max, with Enterprise on custom pricing.

11. Relevance AI

Relevance AI is an AI workforce platform for building, deploying, and managing autonomous AI agents across business functions. Through a no-code environment, users create specialized agents that automate sales, customer support, marketing, operations, and internal workflows, and combine multiple agents into a collaborative workforce with enterprise governance.

• AI workforce builder: Create specialized agents and organize them into collaborative workforces across departments.
• No-code agent development: Build and customize agents with a visual interface for technical and non-technical users.
• Multi-agent collaboration: Agents work together, delegate tasks, and execute complex workflows autonomously.
• 2,000+ integrations: Connect agents with CRMs, messaging platforms, databases, APIs, and productivity tools.
• Agent marketplace: Prebuilt agents and reusable tools for sales, support, recruiting, and research.
• Scheduling and automation: Recurring tasks, event-based triggers, and automatic execution without manual steps.
• Flexible AI model support: Use built-in models or bring your own LLM to customize behavior and costs.

Best for: Businesses and enterprise teams building AI workforces to automate sales, support, operations, and marketing at scale.

Pricing: A Free plan is available with 200 monthly actions. Paid tiers run Pro and Team, with Enterprise on custom pricing.