Agentic Index
Relevance AI vs SuperAGI (2026)
Both build agent workforces with visual tooling, at 11 and 12 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
SuperAGI is open source with a graphical interface and an agent marketplace, free as open source then 49 dollars per user for the platform. Relevance builds and deploys a workforce of agents with a no code tool builder, free to 200 actions monthly then 19 dollars for Pro. SuperAGI documents slightly more and is open source; Relevance is less than half the price per seat and aimed more squarely at non technical builders.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Relevance AI and SuperAGI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Relevance AI if
- Nineteen dollars against 49 per seat is the difference at team scale.
- A no code tool builder is what your non technical users need.
- A free tier of 200 actions is enough to prove a use case.
Choose SuperAGI if
- Documented coverage is slightly broader and open source is a requirement.
- An agent marketplace shortens the distance to a working agent.
- You want to self host rather than depend on a hosted service.
| At a glance | Relevance AI | SuperAGI |
|---|---|---|
| Category | Multi-agent platform | Agent builder |
| Entry price | Free (200 Actions/mo) · Pro $19/mo annual ($29 monthly) | OSS free · platform seat $49/user/mo |
| Free / trial | Free | Free |
| Pricing confidence | public partial | public partial |
| Feature | R Relevance AI |
S SuperAGI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Full / Explicit |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Partial | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Partial | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit | Full / Explicit |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | R Relevance AI |
S SuperAGI |
|---|---|---|
|
Entry price Lowest public entry point |
Free (200 Actions/mo) · Pro $19/mo annual ($29 monthly) | OSS free · platform seat $49/user/mo |
|
Pricing confidence How public the numbers are |
Public, partial | Public, partial |
|
Billing Primary billing axis |
actions + vendor credits | per user + credits + credit packs |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Self-serve |
More comparisons with Relevance AI or SuperAGI
Other matchups in multi-agent platforms
Not the pairing you were after? These compare a different set of multi-agent platforms on the same 14 capabilities.