Compare Automation & agent frameworks
n8n vs AutoGPT vs CrewAI
3 tools side by side on public signals only.
Updated : the last week a score, rank or safety result on this page changed.
What this does not tell you
Scores are percentiles of public GitHub signals. Nobody here tested these tools hands-on, so the higher score is not a verdict on which suits your project. Yellow marks the higher value.
Which one fits you
From measured data and licences, not from testing.
Pick n8n if
- Recent activity and releases matter most to you (maintenance 81).
- You want the more widely adopted option (adoption 96).
Pick AutoGPT if
- No measured signal where it leads all the others.
Pick CrewAI if
- You rely on thorough README docs (docs 69 vs 29).
- You need a permissive open-source licence (MIT).
Safety side by side
Automated scan, 2 Nov 2026. Not a manual audit.
- Cautionn8n3 critical-severity known vulnerabilities in runtime dependencies (OSV)
- CautionAutoGPT16 critical-severity known vulnerabilities in runtime dependencies (OSV)
- CautionCrewAI8 critical-severity known vulnerabilities in runtime dependencies (OSV)
Why different labels?
A label partly reflects how much of each tool is visible and scannable, not only how risky it is. A tool without a lockfile cannot get a dependency check.
- n8n: 3 critical-severity known vulnerabilities in runtime dependencies (OSV)
- AutoGPT: 16 critical-severity known vulnerabilities in runtime dependencies (OSV)
- CrewAI: 8 critical-severity known vulnerabilities in runtime dependencies (OSV)
Repo facts
Yellow = the higher value, where higher is better.
| Fact | n8n | AutoGPT | CrewAI |
|---|---|---|---|
| Score | 70 | 62 | 57 |
| Stars | 209,320 | 187,861 | 60,400 |
| Last push | 2 Nov | 2 Nov | 1 Nov |
| Releases, 90 days | 10+ | 10+ | 10+ |
| Licence | Sustainable Use License | MIT + Polyform Shield | MIT |
| Open source | Source-available (Sustainable Use License) | Mixed license (MIT + Polyform Shield) | Open source |
| Language | TypeScript | Python | Python |
| Type | AI tool | Agent framework | Agent framework |
| Runs locally | yes | yes | yes |
| Hosted option | unknown | mentioned | unknown |
“Runs locally” and “Hosted option” are read from each README automatically (or from the official docs where noted); “unknown” means no evidence was found, not that it is absent.
Questions about n8n vs AutoGPT vs CrewAI
Answers use this week's StackGrade data.
n8n, AutoGPT or CrewAI: which scores higher on StackGrade?
Highest to lowest in Week 45: n8n 70, AutoGPT 62, CrewAI 57 out of 100. The score combines maintenance, adoption and docs (percentiles of public GitHub signals): n8n 81, 96 and 16; AutoGPT 55, 91 and 29; CrewAI 62, 45 and 69. Community (20% weight) is not measured yet. It is not a hands-on test, so a higher score does not say which tool suits your project.
Is n8n, AutoGPT or CrewAI safer to use?
Safety labels from the automated scan of 2 Nov 2026: n8n: Caution, 3 critical-severity known vulnerabilities in runtime dependencies (OSV); AutoGPT: Caution, 16 critical-severity known vulnerabilities in runtime dependencies (OSV); CrewAI: Caution, 8 critical-severity known vulnerabilities in runtime dependencies (OSV). It is an automated scan, not a manual audit.
Which is more widely used, n8n, AutoGPT or CrewAI?
By GitHub stars: n8n 209,320, AutoGPT 187,861, CrewAI 60,400. Adoption score (percentile among all 52 tracked tools): n8n 96, AutoGPT 91, CrewAI 45. Stars are one public signal and do not measure real-world use.
Which licences do n8n, AutoGPT and CrewAI use?
n8n: Sustainable Use License; AutoGPT: MIT + Polyform Shield; CrewAI: MIT. Read each licence text before commercial use.
Should I pick n8n, AutoGPT or CrewAI?
Pick n8n if recent activity and releases matter most to you (maintenance 81); you want the more widely adopted option (adoption 96). Pick AutoGPT if no measured signal puts it ahead of the others. Pick CrewAI if you rely on thorough README docs (docs 69 vs 29); you need a permissive open-source licence (MIT). This comes from measured public data and licences only, not from hands-on testing.
Full comparison table, every criterion
| n8nn8n-io/n8n | AutoGPTSignificant-Gravitas/AutoGPT | CrewAIcrewAIInc/crewAI | |
|---|---|---|---|
| Score | 70 | 62 | 57 |
| Rank | #3 overall · #1 in use case | #14 overall · #2 in use case | #18 overall · #3 in use case |
| Maintenance (30%) | 81 | 55 | 62 |
| Adoption (30%) | 96 | 91 | 45 |
| Docs (20%) | 16 | 29 | 69 |
| Community (20%) | not measured | not measured | not measured |
| Safety | Caution
| Caution
| Caution
|
| License | Sustainable Use License | MIT + Polyform Shield | MIT |
| Open source | Source-available (Sustainable Use License) | Mixed license (MIT + Polyform Shield) | Open source |
| Language | TypeScript | Python | Python |
| Stars | 209,320 | 187,861 | 60,400 |
| Last push | |||
| Type | AI tool | Agent framework | Agent framework |
| Runs locally | yes (README: "curl -fsSL https://get.n8n.io | sh") | yes (README: "docker run") | yes (README: "uv tool install") |
| Hosted option | unknown | mentioned (README: "Sign up for ") | unknown |
Get the board every Monday
One email a week: the new top 10, the biggest score changes and every safety label that changed.
Free. Double opt-in: you confirm by email first, unsubscribe in one click.