Alternatives guide / 2026
The 8 Best Relevance AI Alternatives in 2026 (Ranked)
A quick note: this page containing Relevance AI alternatives is published by Omni, which makes one of the tools listed. We've grouped the tools by what you're buying, and Omni is listed first only as the pick for company-wide agent work.
Jump to comparison ↓Relevance AI competitors and alternatives compared
| Tool | Segment | Open source | Self-host | Pricing model (as of Oct 2026) | Best for |
|---|---|---|---|---|---|
| Omni | Company-wide agent | Yes (Apache 2.0 core) | Yes (Docker Compose, Terraform on AWS/GCP). Omni Cloud not yet launched | Community $0. Business $10/user/month, billed annually. Enterprise custom | One agent across company tools, with permissions inherited from each source |
| Lindy | No-code agent builder / AI teammate | No | Not listed | Per seat plus monthly credits: Plus $29.99, Pro $99.99, Max $199.99. Enterprise custom. Credits don't roll over | Slack-based help with meetings, inbox, and routines |
| StackAI | No-code agent builder | No | Yes, on-premises and VPC (Enterprise) | Free tier (500 runs/month) and custom Enterprise | Regulated teams in finance, risk and operations |
| n8n | Workflow automation | No. "Fair-code" license, source-available | Yes. Community edition free, with unlimited executions | Cloud from €20/month billed annually (Starter) and €50 (Pro), priced per execution. Self-hosted Business around €667/month | Technical teams that want control over workflows |
| Zapier | Workflow automation | No | No (SaaS) | Free (100 tasks). Professional from $19.99/ month billed annually ($29.99 monthly). Team from $69/month billed annually ($103.50 monthly). | Non-technical teams that need app breadth (9,000+ apps) |
| Glean | Company-wide agent | No (proprietary) | Customer-hosted in your AWS/GCP, but Glean operates it | Per-user seats (including a pooled FlexCredit allowance) plus pay-per-use FlexCredits above it. No public price | Large organizations that want a managed platform |
| Dify | Build-your-own | Yes, with conditions (modified Apache 2.0) | Yes | Cloud: Sandbox free (200 credits), Professional $59/workspace/month, Team $159. Enterprise custom | Engineering teams building LLM apps and RAG |
| CrewAI | Build-your-own | Yes (MIT framework) | Yes (framework), and a self-hosted Factory option for enterprise | Framework $0. Hosted platform has a free Basic tier (50 executions/month) and custom Enterprise | Python teams building multi-agent systems |
Why teams look for a Relevance AI alternative
Relevance AI is a capable AI multi-agent platform, and its prebuilt agent library is a real head start for teams that want working agents quickly. The search for a Relevance AI alternative usually starts for one of four reasons:
As of October 2026, Relevance AI lists a single enterprise plan with a “Talk to Sales” button; however, its documentation still mentions self-serve Pro and Team plans. Teams looking for standard self-serve pricing or clear low-tier entry points often look elsewhere.
Since September 2025, Relevance AI has charged separately for Actions (each tool run) and Vendor Credits (model costs). Vendor credits are charged at cost, with no extra markup, and you can bring your own API keys, which is a fair design. A tool run that fails still counts as one action and will consume your system actions according to the platform documentation. This makes cost harder to predict for high-volume automated workflows.
Relevance AI reserves SSO, RBAC, and audit logs for its Enterprise Tier. A security review, therefore, tends to lead straight into a sales conversation. Teams that want to run the software inside their own infrastructure should confirm deployment options with Relevance AI directly.
Some teams widely look for agents that hold unified knowledge about the company and work across everything. However, Relevance AI excels at discrete, multi-step task execution. This is where companies start looking for alternatives.
Not sure which kind of tool you need? Jump to which Relevance AI alternative fits your team.
First, know which of these three things you’re buying
Most "Relevance AI alternatives" lists put very different products into one ranking, as if they were interchangeable. They aren't. Before comparing features or prices, decide which job you're hiring for.
If you want to assemble autonomous digital workers without writing code or managing infrastructure, then you’re looking for a no-code agent builder that performs tasks such as qualifying leads, triaging support tickets, or processing documents. Relevance AI sits here, as do Lindy and StackAI.
If you are looking for platforms that connect your apps and data to run repetitive tasks without human intervention and add AI steps to the flow, then workflow automation platforms are the best choices. n8n and Zapier are the two names here.
If you want an agent with all-in-one, shared knowledge about everything for your company and who can answer your daily queries with ease, then company-wide AI agents are built for such tasks. Omni and Glean sit here.
How to choose
These are three different purchases and not three tiers of the same product. Start by defining your actual need and then pick one that matches it.
If you have one clear, repeatable task and a team that handles it, start with a no-code agent builder like Relevance AI, Lindy, or StackAI.
If you can portray your task as a step-by-step workflow between apps, start with a workflow automation platform like Zapier or n8n.
If you have multiple questions or tasks that need information from many tools at once, start with a company-wide AI agent like Omni or Glean.
If your purpose is more than these, then try using separate tools for each job. A builder is designed for specific tasks, an automation platform connects apps and workflows, and a company-wide agent works across your business knowledge. Trying to make one platform do all three can mean compromising on what each tool does best.
1. Omni — for company-wide agent work (open source)
Omni is not a Relevance AI clone. It is built for a different, bigger job: one open-source agent that works across your company's tools and knowledge, run on your own infrastructure if you choose. If your alternative search is really "we've outgrown task agents," start here.
Employees can use Omni to investigate customer issues, prepare project updates, analyze company data, or perform actions across connected tools. It uses one shared context layer that brings information from different systems together. Access permissions are preserved, so employees only see information they already have access to. This shared context layer is part of Omni’s open-source core, not a paid add-on. If you’re looking for prebuilt GTM personas, then Omni is not the one.
As of October 2026, Omni's docs currently list 19 connectors, which together cover more than 25 apps and sources. They include Google Workspace, Microsoft 365, Slack, Jira, Confluence, GitHub, HubSpot, Salesforce, etc. The business plan is priced at $10 per user per month, billed annually. The enterprise plan can be inquired about by the sales team.
2. Lindy — no-code agent builder for GTM tasks
Lindy is one of the closest alternatives to Relevance AI because it also focuses on building AI agents for specific business tasks. Lindy AI is a no-code platform for developing AI agents and virtual assistants that can perform repetitive tasks across your connected apps.
Its pricing is per user, with a shared monthly credit pool. Plus costs $29.99/user/month with 3,000 credits, Pro costs $99.99/user/month with 15,000 credits, and Max costs $199.99/user/month with 35,000 credits. Enterprise pricing is custom.
Best for: Teams that want an AI assistant working across Slack, email, meetings, and other connected tools. Less suited to: Teams looking mainly for a large library of prebuilt, role-specific agents.
3. StackAI — compliance-lean no-code agents
StackAI is a no-code platform that helps non-technical and IT teams build AI agents and workflows without coding. Like Lindy, it belongs to the agent-builder category, but it focuses more on security and deployment control.
StackAI lists SOC 2 Type II, GDPR, and HIPAA compliance. It offers different deployment options, including managed cloud, dedicated VPC, customer-hosted VPC, and on-premises deployment. StackAI's free plan includes 500 runs per month, with limited projects and seats. Enterprise pricing is custom, and there is currently no published mid-tier plan.
Best for: Teams that need no-code AI with strong security and deployment options.
Less suited to: Small teams looking for simple, transparent, self-serve pricing.
4. n8n — open-source workflow automation with agents
n8n is workflow-first, which also allows you to combine AI agents into those workflows. You build a flow of triggers and steps, then use AI where needed. It can be self-hosted, and its free Community Edition lets you run unlimited workflow executions, with infrastructure costs handled by you.
n8n is source-available under a fair-code license, not an OSI-approved open-source license. You can use and modify it for your own business or personal use, but there are restrictions on offering it as a service to your customers. Features such as SSO and audit logs are available with paid plans. So, while n8n's code is visible and it can be self-hosted, it isn't technically open source in the strict sense. If licensing matters for your company, check the license terms before choosing it.
Its paid plans include Starter at €20/month, Pro at €50/month, and Business at €667/month when billed annually. Enterprise pricing is available through sales.
Best for: Technical teams that want control over their automations.
Less suited to: Open-ended tasks that require searching across company knowledge rather than following a defined workflow.
5. Zapier — the integration-library giant
Zapier AI, an orchestration platform, integrates all your traditional apps with AI, connecting them with various models and thousands of actions. It is a workflow automation platform like n8n where you define triggers and steps, and AI works as one step at a time.
Zapier's main strength is its wide range of app integrations. If your apps are supported, you can usually set up an automation quickly without engineering help. The trade-off is that Zapier works best with tasks you can define as clear workflows and steps. It's less suited to open-ended questions that require reasoning across company knowledge or to teams that want to self-host and control the infrastructure. Zapier also offers AI agents and chatbots as separate products with their own pricing.
Pricing ranges from $0/month for Free, $19.99/month for Professional, and $69/month for Team, while Enterprise pricing is available through sales. Best for: fast, no-code automations across many apps.
6. Glean — enterprise search with agents
Glean is a proprietary enterprise AI platform that works across company knowledge, tools, and data. It started as enterprise search and has expanded into an AI assistant and agent platform, with its permission-aware index at the centre.
Glean offers 100+ pre-built connectors, including Slack, Salesforce, Jira, Google Drive, OneDrive, ServiceNow, and GitHub. It also mirrors permissions from connected systems, so employees only see information they already have access to. Its broad connector library is a key advantage for large organizations.
Glean is not SaaS-only. According to its own pages, deployments are single-tenant, with a choice of SaaS or customer-hosted in GCP, AWS, or Azure. It is closed-source, so customers cannot inspect or modify the underlying code.
Glean does not publish pricing. It uses per-user pricing along with usage-based credits for some features and agent runs, so teams should request a quote and ask how usage is measured.
For a deeper comparison, see Omni vs. Glean.
7. Dify — the build-your-own route
Dify is a visual platform for building LLM apps, AI agents, and RAG systems. Its Community Edition can be self-hosted for free, but it uses a modified license rather than standard Apache 2.0. The license restricts using Dify as a multi-tenant SaaS without a commercial license and requires its branding and copyright notices to remain in the frontend. Internal use and using Dify as the backend of your own product are allowed.
Dify also offers a managed cloud with Sandbox at $0/month, Professional at $59/month, and Team at $159/month, while enterprise pricing is custom.
8. CrewAI — the build-your-own route
CrewAI is aimed at engineering teams that want to build and control their own AI agents rather than buy a ready-made solution.
CrewAI is a Python framework for building multi-agent systems where different agents work together on tasks. The framework is MIT-licensed and free to use, although you still pay for your own infrastructure and AI model usage. Its hosted platform, AMP, has a free Basic tier and custom Enterprise pricing, with self-hosted options available for teams that want to run it on their own infrastructure.
Best for: Engineering teams that want full control and are comfortable building their own AI systems.
Less suited to: Teams without developers or anyone looking for ready-to-use agents
Which Relevance AI alternative fits your team
| If this sounds like you | Segment | Start with | Why |
|---|---|---|---|
| You want prebuilt sales, support, or operations agents without coding | No-code agent builder | Relevance AI | Its prebuilt agents and no-code tools are designed for these tasks. |
| You want an assistant for Slack, email, meetings, and daily tasks | No-code agent builder | Lindy | It combines AI agents with connected workplace apps and a shared credit pool. |
| You need no-code agents with strong security and deployment options | No-code agent builder | StackAI | It focuses on enterprise security, compliance, and deployment flexibility. |
| Your work can be mapped as “when X happens, do Y” across apps | Workflow automation | Zapier or n8n | Both are built around workflows, with AI added as part of the process. |
| Your questions or tasks require information from multiple company systems | Company-wide AI agent | Omni or Glean | Both can work across company knowledge and connected systems, with permissions preserved. |
| Your engineers want to build and control the AI system themselves | Build-your-own | Dify or CrewAI | They offer more flexibility and customization, but require engineering work. |
Open-source Relevance AI alternatives
If you're looking for an open-source or free Relevance AI alternative, the right choice depends on what you want to build. “Open source” doesn't mean the same thing across these tools, so look at the license as well as the features.
Company-wide agents: Omni. Omni's core is Apache 2.0 licensed and can be self-hosted for free. Its open-source core includes permission-aware access to connected data, so employees only see information they already have access to. Paid plans add commercial features.
Workflow automation: n8n. n8n's Community Edition is free to self-host and supports unlimited executions. However, n8n uses a fair-code license rather than an OSI-approved open-source license. It's source-available, and you can use it for your own business, but it restricts offering it to others as a hosted service. Enterprise features such as SSO require a paid plan.
Building your own: Dify. Dify offers a free self-hosted Community Edition for building AI apps, agents, and RAG systems. Its modified Apache 2.0 license has restrictions on running it as a multi-tenant SaaS and removing its branding. For teams that prefer a code-first approach, CrewAI is another option, with its framework available under the MIT license.
Check the license as well as the price. A tool can be free to self-host without giving you the same rights as a traditional open-source project, so check the license before building on it.
Free to use doesn't mean free to run. With self-hosting, you still pay for servers, AI model usage, backups, updates, security, and the engineering time needed to maintain everything. For some teams, a managed plan may be more practical than handling all of that themselves.
Open-source AI agent platform · Open-source AI agents roundup
Frequently asked questions
Which alternatives are closest to Relevance AI, and which solve a different problem?
Lindy and StackAI are the closest category matches if you want to build no-code agents. n8n and Zapier are workflow-first options for defined triggers and steps. Omni and Glean address company-wide knowledge and employee questions across connected tools. Dify and CrewAI suit teams building their own AI applications. Start with the work you need done rather than treating all eight as interchangeable replacements.
Which alternatives can I self-host, and which actually have open-source licenses?
Omni’s core is Apache 2.0-licensed, and the CrewAI framework is MIT-licensed; both support building on open-source software. n8n’s self-hosted Community edition uses a fair-code, source-available license rather than an OSI-approved open-source license. Dify offers a self-hosted Community edition under a modified Apache license with additional restrictions, including on multi-tenant SaaS use. Self-hosting and open source are not synonyms: check the specific edition and license for your intended use.
How should I compare per-seat, per-action, and infrastructure-based costs?
Use the same representative workload for each option: employee count, workflow frequency, average steps per run, model usage, and chargeable retries or failures. Relevance AI separates Actions from Vendor Credits, so a workflow’s tool runs and model consumption both matter. Other platforms may combine seats with credits or execution allowances. For self-hosted options, add infrastructure, model usage, maintenance, and any paid enterprise features. Compare the total operating cost, not just the advertised entry price.
Which free alternative should I trial first?
Trial Omni Community for a company-wide assistant, n8n Community for workflow automation, Dify Community for a visual AI application builder, or the CrewAI framework for a code-first agent system. A free self-hosted edition still requires infrastructure, model access, and someone to operate it. Check license restrictions and whether your required security or admin features are paid before committing to a pilot.
What should an enterprise team verify before choosing an alternative?
Verify deployment options, source-level permission behavior, SSO and provisioning, audit controls, supported connectors, and which features require a paid edition. Then test a real task with users who have different access rights and estimate its operating cost. A large connector count or an enterprise label does not establish that a platform fits your data boundaries or workflow requirements.
When should I stay with Relevance AI rather than switch?
Stay if its agent-building approach, prebuilt agents, supported tools, and usage model fit your sales, support, or operations work. Consider another platform when the main requirement is different: employee access to company-wide knowledge, self-hosting, predictable step-by-step automation, or a developer-controlled application. An alternative is only better if it addresses the gap that matters to your team.