Agentic Index
AutoGPT vs Relevance AI (2026)
Both let you assemble a workforce of agents and they differ on openness against polish, at 10.5 and 11 of 14.
Relevance builds and deploys a workforce of agents with a no code tool builder, free to 200 actions a month then 19 dollars for Pro. AutoGPT is open source with a visual block based builder, an agent marketplace and a continuous agent runtime, free to self host or hosted on subscription plus credits. Relevance is the smoother commercial product; AutoGPT is free forever if you run it yourself.
Choose AutoGPT if
- Free self hosting with no ceiling is the deciding factor.
- A continuous runtime for always on agents is the requirement.
- Open source is how you want your dependencies to work.
Choose Relevance AI if
- Documented coverage is slightly broader and a polished no code builder speeds adoption.
- Nineteen dollars for Pro is trivial next to the cost of self hosting anything.
- A workforce metaphor with clear tooling is what your non technical team will understand.
| At a glance | AutoGPT | Relevance AI |
|---|---|---|
| Category | Agent builder | Multi-agent platform |
| Entry price | Free to self-host the full open source platform with your own model API keys and hardware; the hosted cloud offers Pro, Max, and Team subscription plans with a pay as you go credit wallet for agent runs and deliberately no free cloud tier. | Free (200 Actions/mo) · Pro $19/mo annual ($29 monthly) |
| Free / trial | Self-hosting is genuinely free with no license fee or seat limit; the hosted cloud has no free tier by design. | Free |
| Pricing confidence | public partial | public partial |
| Feature | A AutoGPT |
R Relevance AI |
|---|---|---|
| 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 | Full / Explicit |
| 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. |
Partial | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Full / Explicit |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| 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 | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A AutoGPT |
R Relevance AI |
|---|---|---|
|
Entry price Lowest public entry point |
Free to self-host the full open source platform with your own model API keys and hardware; the hosted cloud offers Pro, Max, and Team subscription plans with a pay as you go credit wallet for agent runs and deliberately no free cloud tier. | Free (200 Actions/mo) · Pro $19/mo annual ($29 monthly) |
|
Pricing confidence How public the numbers are |
Public — partial | Public — partial |
|
Billing Primary billing axis |
Subscription sets included AutoPilot Chat usage; agent runs draw from a prepaid credit wallet at the same rate on every plan. | actions + vendor credits |
|
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 |