Agentic Index
AutoGPT vs CrewAI (2026)
AutoGPT and CrewAI are two of the most recognized names in open source agents, now at different maturity points: AutoGPT, the original autonomous agent phenomenon, is free to self host with your own model keys, with a hosted cloud offering Pro, Max, and Team subscriptions plus a pay as you go credit wallet and deliberately no free cloud tier, while CrewAI became the production multi agent standard, MIT licensed and free, with a hosted platform from a free tier of fifty executions to Professional at 25 dollars a month and enterprise options. For shipping multi agent systems in 2026, CrewAI is the safer bet; AutoGPT remains the tinkerer's platform with a workflow oriented cloud.
| At a glance | AutoGPT | CrewAI |
|---|---|---|
| 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 (50 exec/mo) · Professional $25/mo · OSS free (MIT) |
| 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
|
C
CrewAI
|
|---|---|---|
| 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 | Full / Explicit |
|
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 | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | 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 | Partial |
| 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 | Full / Explicit |
| 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 |
A
AutoGPT
|
C
CrewAI
|
|---|---|---|
|
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 (50 exec/mo) · Professional $25/mo · OSS free (MIT) |
|
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. | workflow executions / order-form |
|
Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Sales call |
Choose AutoGPT if
- Visual workflow style agent building on the hosted platform appeals.
- Self hosting the original autonomous agent stack fits your experiments.
- Credit wallet economics match your intermittent usage.
Choose CrewAI if
- Production multi agent orchestration with enterprise adoption is the goal.
- Role and task crew structure maps to your architecture.
- A hosted path from free to 25 dollars a month fits your growth.