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Buying guide · 17 tools · prices checked Nov 6, 2026

The best AI agent builders in 2026

Our ranked picks weigh useful capabilities against entry price, plan limits and how clearly each tool fits the job.

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Coze is our best overall pick for buyers who want visual AI workflows, a free plan and a low listed starting price of $9. MindStudio and Relevance AI are strong alternatives for visual building and internal workflows, while Composio and Lindy fit more specific needs. The catch: credit costs, plan caps and custom pricing make several tools harder to budget for. We’ve also included specialist platforms and tools that are not general-purpose agent builders, so you can see where they fit—and where they don’t.

Quick picksThe shortlist

  1. CozeBest overall · $9/mo
  2. MindStudioBest for visual building · $16/mo
  3. Relevance AIBest for internal agents · $19/mo
  4. ComposioBest for app integrations · $29/mo
  5. LindyBest for admin automation · $29.99/mo
  6. Anakin AIBest low-cost no-code · $9.90/mo
  7. LangflowBest for prototyping · Free
  8. DifyBest for LLM workflows · $49.17/mo
  9. CrewAIBest for agent governance · Free
  10. AnythingLLMBest for local AI · $50/mo
  11. Dedalus LabsBest for persistent agents · $20/mo
  12. VapiBest for voice agents · $29/mo
  13. InterplayBest for private deployment · Custom
  14. AiriaBest for AI governance · $25/mo
  15. ServiceNow AI PlatformBest for ServiceNow teams · Custom
  16. FlowiseBest for existing projects · $35/mo
  17. SuperagentBest for agent security · $499/mo

01Compared at a glance

ToolScoreFromFree planTrial
Coze7.3$9/moYes3 days
MindStudio7.2$16/moYes—
Relevance AI7.1$19/moNo—
Composio7.0$29/moYes—
Lindy7.0$29.99/moYes7 days
Anakin AI7.0$9.90/moYes—
Langflow7.1FreeYes—
Dify6.8$49.17/moYes—
CrewAI5.6FreeYes—
AnythingLLM6.7$50/moYes—
Dedalus Labs6.5$20/moYes—
Vapi6.9$29/moYes—
Interplay6.0CustomNo—
Airia6.3$25/moYes14 days
ServiceNow AI Platform6.0CustomNo—
Flowise4.5$35/moYes1 month
Superagent6.0$499/moYes—

02The picks, in detail

  1. Best overall

    Coze

    Coze offers visual AI workflows, a free plan and shared bot projects for small teams. Its listed starting price of $9 makes it one of the more accessible options here. The trade-off is credits: daily limits and unclear credit costs can make ongoing use harder to forecast. We’d put it first for buyers who want a broad, approachable starting point and can check usage before scaling.

    What works

    • Free plan includes 10 credits per day
    • Choose models from several named providers
    • Visual workflows connect prompts, APIs, and code

    What doesn't

    • Daily credits cap usage on every listed plan
    • Credit consumption rules are not specified
    • Annual billing prices are not published
    7.3/10
    from
    $9/mo
    Visit ↗
    Coze homepage
  2. Best for visual building

    MindStudio

    MindStudio is a capable no-code agent builder for individual creators, with visual workflows, multiple AI models and collaboration features for teams. Its listed starting price is $16, with a free plan also available. Usage costs and Business pricing are unclear, so the low entry price does not tell the whole budget story. It’s a good fit when visual building matters more than predictable total cost.

    What works

    • Visual builder requires no coding
    • Code extensions are available when needed
    • Connects to 200+ AI models

    What doesn't

    • Free plan is limited to one agent
    • Free plan caps usage at 1,000 runs monthly
    • Bring your own API keys
    7.2/10
    from
    $16/mo
    Visit ↗
    MindStudio homepage
  3. Best for internal agents

    Relevance AI

    Relevance AI targets teams building agents for internal workflows and offers deployment and governance support. Its listed starting price is $19, which keeps it accessible relative to some enterprise-focused options. The caution is plan limits and add-on costs: the value depends on whether your workflows fit within the included allowance. We’d shortlist it for teams willing to map usage and costs before committing.

    What works

    • Pro includes 2,500 Actions/month and 2 build users
    • Team supports 45 end users and 5 build users
    • Evaluation, monitoring and governance are included

    What doesn't

    • Pro is limited to 1 project
    • Pro includes only 2,500 Actions/month
    • Extra Actions cost $80 per 1,000
    7.1/10
    from
    $19/mo
    Visit ↗
    Relevance AI homepage
  4. Best for app integrations

    Composio

    Composio is an integration layer for developers building agents across connected apps, with app-level action controls. The listed entry price is $29, and a free plan is available. It is less of a visual, ready-made builder than a foundation for technical teams to configure. Setup and usage costs need attention, but it fits teams that care about controlling what agents can do in their apps.

    What works

    • Connects agents to 1,500+ apps
    • Hobby plan includes 100,000 monthly tool calls
    • Set permissions for actions in connected apps

    What doesn't

    • Pro costs $29/month before possible extra usage charges
    • Pro credits expire monthly
    • Some managed-app tool-call rates are not published
    7.0/10
    from
    $29/mo
    Visit ↗
    Composio homepage
  5. Best for admin automation

    Lindy

    Lindy is aimed at repeatable admin work and offers approval controls for businesses that want oversight of automated tasks. Its listed starting price is $29.99, with a free plan available. Credit use is the main budgeting caveat, and we’d verify a specific workflow before paying. It suits teams looking for a practical automation tool, provided they are prepared to monitor consumption.

    What works

    • Handles prospecting, reporting, invoice follow-ups, and lead replies
    • Can work through tools a business already uses
    • Outside-impact actions wait for approval unless authorized

    What doesn't

    • Free-plan credits last only 7 days
    • Team pricing rises with credit volume
    • Each active user is billed
    7.0/10
    from
    $29.99/mo
    Visit ↗
    Lindy homepage
  6. Best low-cost no-code

    Anakin AI

    Anakin AI supports no-code AI apps and multi-step prompt workflows, with a free plan and a listed starting price of $9.90. That makes it a low-cost way to explore app building without starting with a developer-focused platform. The free tier is narrow, and user feedback is mixed, so we would not choose it on price alone. Check that its limits suit the workflow you want to build.

    What works

    • Visual builder connects prompts, models, logic, and APIs.
    • More than 1,000 prebuilt apps are listed.
    • Free plan includes 30 credits per day.

    What doesn't

    • Free plan is limited to the Gemini model.
    • Free storage is capped at 5M vectors and 50 documents.
    • Basic is $12.90 monthly, or $9.90 billed annually.
    7.0/10
    from
    $9.90/mo
    Visit ↗
  7. Best for prototyping

    Langflow

    Langflow is a visual option for prototyping AI workflows, with reusable components for Python users and a free self-hosting route. Its cloud starting price is not published, which makes hosted costs harder to compare. It is a sensible fit for builders comfortable with Python or self-hosting. For teams that need clear cloud pricing or production assurances, the available information leaves important questions unanswered.

    What works

    • MIT-licensed self-hosted option costs $0
    • Visual flows target agents and MCP servers
    • Python customization and reusable components

    What doesn't

    • Cloud and enterprise prices are not published
    • Seat and usage limits are not published
    • Python customization may challenge nonprogrammers
    7.1/10
    from
    Free
    Visit ↗
    Langflow homepage
  8. Best for LLM workflows

    Dify

    Dify covers workflows, agents and RAG, and offers deployment flexibility alongside a free plan. Its listed starting price is $49.17, so it costs more to enter than the cheapest tools here. Plan caps and brand-voice trade-offs are reasons to check the fit before switching. We’d consider it for teams that want broad LLM-app capabilities and are comfortable reviewing the limits closely.

    What works

    • Visual workflows support testing, debugging and deployment.
    • Agents can be built by chat or manual configuration.
    • Knowledge pipelines handle files, websites, documents and drives.

    What doesn't

    • Monthly Professional and Team prices are not published.
    • Professional starts at $49.17 per workspace/month, billed annually.
    • Professional caps usage at 5,000 message credits per month.
    6.8/10
    from
    $49.17/mo
    Visit ↗
    Dify homepage
  9. Best for agent governance

    CrewAI

    CrewAI combines governance controls with visual and code options, and it has a free plan for small workflows. The free limits are tight, while Enterprise pricing is not published, making it difficult to judge the cost of growing beyond a small project. It may suit builders who value governance and want both visual and code paths, but budget clarity is a weakness.

    What works

    • Basic plan costs $0 per month
    • Visual builder can export to Python
    • Code-first API supports agent workflows

    What doesn't

    • Basic includes only 50 workflow executions monthly
    • Basic is limited to 2 automations
    • Enterprise pricing is custom and undisclosed
    5.6/10
    from
    Free
    Visit ↗
    CrewAI homepage
  10. Best for local AI

    AnythingLLM

    AnythingLLM stands out for privacy-minded users who want local AI, document-based agents or meeting summaries. It has a free plan, but its limits are unclear, and the listed paid entry price is $50 per month. That price tempers its appeal for buyers mainly comparing low-cost builders. It is most relevant when local use and document workflows matter more than a low paid starting point.

    What works

    • Free plan available
    • Document processing stays on device
    • Choose a local model or get a recommendation

    What doesn't

    • Basic paid plan starts at $50/month
    • Free-plan limits are not published
    • Annual billing prices are not listed
    6.7/10
    from
    $50/mo
    Visit ↗
    AnythingLLM homepage
  11. Best for persistent agents

    Dedalus Labs

    Dedalus Labs offers persistent Linux machines for agents and supports connections to MCP servers, targeting developers comfortable with proprietary infrastructure. Its listed starting price is $20, with a free plan available. Usage charges can add up, and the infrastructure creates a vendor-lock-in consideration. We’d shortlist it for teams that specifically need persistent agent environments, rather than as a general-purpose visual builder.

    What works

    • Files and packages persist across sleep cycles
    • Autosleep after five idle minutes by default
    • Resize CPU and RAM through an API call

    What doesn't

    • VM infrastructure is proprietary and not self-hostable
    • Compute and storage are billed separately by usage
    • Pro compute credits do not roll over
    6.5/10
    from
    $20/mo
    Visit ↗
    Dedalus Labs homepage
  12. Best for voice agents

    Vapi

    Vapi is a specialist choice for technical teams building voice agents and testing call workflows. It has a free plan and a listed starting price of $29, with enterprise controls also in scope. Configuration and usage costs are the key caveats, so it may not suit buyers seeking a simple no-code workflow tool. For voice-first projects, its focused fit makes more sense than a general builder.

    What works

    • Free usage-based option includes $5 in credits
    • Core includes five Vapi phone numbers
    • Core includes 10 concurrent calls

    What doesn't

    • Core costs $29 per month before usage fees
    • No annual pricing is shown
    • No Success Package hosting costs $0.05 per minute
    6.9/10
    from
    $29/mo
    Visit ↗
    Vapi homepage
  13. Best for private deployment

    Interplay

    Interplay offers visual and code-based agent building, private deployment, and support for organizations using AWS or GCP. Its starting price is not published, so buyers cannot easily compare its cost with self-serve tools. That makes the value case difficult to assess before a sales conversation. It belongs on enterprise shortlists where deployment flexibility matters more than a transparent entry price.

    What works

    • Supports visual or code-based development
    • Connects agents to enterprise systems and tools
    • Supports on-premises, cloud VPC, and edge deployment

    What doesn't

    • Pricing is quote-based
    • Starting price is not published
    • Monthly and annual billing details are not published
    6.0/10
    from
    Custom
    Visit ↗
    Interplay homepage
  14. Best for AI governance

    Airia

    Airia is better suited to governing AI use across departments than to building an individual agent from scratch. Its listed starting price is $25, with a free plan available, and its fit includes shadow-AI tracking, policies and audit records. Plan caps and incomplete pricing make the total cost harder to assess. We’d consider it when oversight is the priority, not simply workflow creation.

    What works

    • Free plan includes one user and 100 agent executions monthly
    • Professional plan lists $25 monthly pricing
    • Discovers approved and unapproved AI tools and agents

    What doesn't

    • Free plan is capped at 100 agent executions monthly
    • Professional allows five agent workflows
    • Team limits vary by schedule
    6.3/10
    from
    $25/mo
    Visit ↗
    Airia homepage
  15. Best for ServiceNow teams

    ServiceNow AI Platform

    ServiceNow AI Platform targets enterprises consolidating AI and workflows, especially organizations already adopting ServiceNow workflows. It also includes autonomous-agent capabilities. Pricing and usage limits are not published on the vendor's site, so value is difficult to compare or estimate. This is a platform to assess in the context of an existing ServiceNow environment, not a clear first choice for buyers shopping for a standalone builder.

    What works

    • Combines AI, data and workflows
    • Includes autonomous agent workflows on Prime
    • Unlimited Virtual Agent conversations on all listed plans

    What doesn't

    • Monthly and annual prices are not published
    • Assist pool sizes are not published
    • Overage rates are not published
    6.0/10
    from
    Custom
    Visit ↗
    ServiceNow AI Platform homepage
  16. Best for existing projects

    Flowise

    Flowise offers visual agent building and a free plan, with a listed hosted starting price of $35. It may suit teams maintaining existing Flowise projects or running small hosted experiments. The announced sunset makes it a risky choice for a new long-term build, while self-hosting means teams need to manage the software themselves. We would not rank it higher for buyers starting from scratch.

    What works

    • Visual tools for agents and chat assistants
    • Supports multi-agent workflows and human review
    • Execution traces and observability connections

    What doesn't

    • Homepage says Flowise is being sunset
    • Free hosted plan allows just 2 flows and assistants
    • Starter costs $35/month for 10,000 predictions
    4.5/10
    from
    $35/mo
    Visit ↗
    Flowise homepage
  17. Best for agent security

    Superagent

    Superagent is a security layer, not an agent builder. Its fit is securing public repositories, applying guardrails to AI agents, or handling defined private-repository scan needs. Although a free plan is listed, its paid starting price is $499, and credit limits may constrain the workload. It belongs in this guide as an adjacent tool for security buyers, not as a platform for creating agents.

    What works

    • Covers code, dependencies, red teaming, and agent guardrails
    • Free public-repository plan lists unlimited usage
    • Free private plan includes 100 credits monthly

    What doesn't

    • Starter costs $499/month
    • Starter includes only 500 credits monthly
    • One red-team report costs 500 credits
    6.0/10
    from
    $499/mo
    Visit ↗
    Superagent homepage

03How we chose

We weigh published pricing and plan limits first, then check vendor documentation for details about building, deploying, and managing agents. We also consider Reddit sentiment as a signal of user-reported trade-offs, not as proof that a product will perform the same way for every team. When a vendor does not publish a price or limit, we treat it as undisclosed rather than estimating it. This guide does not claim hands-on testing, benchmarks, or trials.

04Choose for the job you need an agent to do

Start with one specific task, such as routing a request, updating a record, or preparing a response. Then check whether a builder’s documented capabilities and integrations fit that task. A long feature list matters less than a clear path from your input to the action you need, with a way to review what the agent did.

Decide who will build and maintain it. A visual interface may suit a team that wants to configure workflows without writing much code; a code-oriented option may better suit developers who need control. Treat those as requirements to verify in the docs, not assumptions based on product labels. Before choosing, map the handoffs, permissions, and failure cases. If the vendor’s materials leave those questions unanswered, ask for clarification before moving business work onto the platform.

05Compare the full cost and the route out

Do not compare tools by entry price alone. Check the pricing page for billing units, included usage, plan limits, and which features require a higher tier. If a price or limit is not published, mark it as undisclosed and ask the vendor for a quote based on your expected workload. Build a rough monthly estimate from the tasks you plan to automate, then confirm what happens when usage exceeds an allowance.

Also plan for change before you commit. Find out what you can export, whether your team can inspect or edit the workflow, and how credentials and connected systems are managed. The docs and sales team may not answer every migration question, so record what remains unclear. A pilot should have a defined task, owner, review process, and stop condition; do not treat a successful demo as evidence that a broader rollout will work.

Questions people ask

What is an AI agent builder?

An AI agent builder is a platform for creating software agents that carry out tasks or workflows. Products differ in how they let teams define instructions, connect systems, review actions, and deploy agents. Check each vendor’s documentation to confirm that it supports your intended use case.

Should we choose a no-code or code-first builder?

Choose based on who will build and maintain the agent, and how much control the task needs. Compare the actual editing and deployment options in the docs. A product’s “no-code” or “developer” label is not enough to establish whether it fits your team.

How should we compare pricing?

Check each pricing page for the billing unit, included usage, plan limits, and features tied to each tier. Estimate costs using your expected workload, then ask vendors to clarify unpublished limits or overage charges. Do not treat an undisclosed price as free or assume it will stay fixed.

What should we check before switching platforms?

Confirm how workflows, data, credentials, and integrations can be moved or rebuilt. Ask what can be exported and which details are documented. Before committing, test a narrowly scoped task with an owner and review process, and write down any migration or pricing questions the vendor has not answered.