| Feature | AutoGPT | Devin |
|---|---|---|
| Free Plan | ✓ Yes | ✗ No |
| Pricing | Free / $29/mo | $500/mo |
| Rating | ★★★★☆ 4.3 | ★★★★☆ 4.4 |
| Key Feature 1 | Autonomous task execution | End-to-end task autonomy |
| Key Feature 2 | Visual agent builder | Sandboxed Linux environment |
| Key Feature 3 | Web browsing | Long-horizon memory |
Reach buyers comparing AutoGPT and Devin. High-intent traffic, direct conversions.
AutoGPT and Devin are rated almost identically by users (4.3 vs 4.4), so the right pick comes down to feature fit rather than overall quality. AutoGPT offers a free plan, making it the lower-risk option to try first — Devin starts at $500/mo. AutoGPT tends to be favoured by marketers and freelancers, while Devin is more popular with enterprises.
AutoGPT and Devin are frequently weighed against each other — AutoGPT is built around agents while Devin leans toward coding tools. AutoGPT is best known for autonomous task execution, whereas Devin stands out for end-to-end task autonomy. On aggregate user ratings Devin holds a slight edge (4.3/5 vs 4.4/5), though that gap rarely decides the match on its own.
Where AutoGPT pulls clearly ahead is running autonomous research tasks across multiple web sources. A frequent plus in reviews: Most established agent platform with huge community. Devin, by contrast, is the stronger choice for implementing a complete feature from a GitHub issue or specification. In its favour: Most autonomous coding agent available. Picking based on which of those jobs you actually do day to day beats chasing a longer feature list.
AutoGPT is primarily a research and experimentation tool — its open-source nature makes it valuable for exploring agent architectures, but reliability for production tasks lags commercial alternatives like Devin or Manus AI. Devin is genuinely impressive for well-scoped engineering tasks — the level of autonomous action is beyond what IDE plugins can achieve. Bottom line: the "better" tool here is the one that fits the work you do most.
Choose AutoGPT if you are focused on aI researchers, developers, and technically-minded early adopters exploring autonomous AI agent capabilities — and teams wanting to build custom agent workflows using an open, extensible framework, or if a big part of your week goes to building and testing custom AI agent workflows for complex multi-step tasks. Its free tier also lets you validate the fit before paying.
Choose Devin if your priority is engineering teams wanting to offload well-defined, self-contained software tasks to an autonomous agent — particularly for implementing features from specifications, debugging issues, and modernising legacy code, especially for debugging a complex production issue autonomously by tracing through code. Note there is no free plan, so plan for a paid tier from day one.
In day-to-day use, AutoGPT feels strongest at running autonomous research tasks across multiple web sources, while Devin is more at home with implementing a complete feature from a GitHub issue or specification.
Learning curve is worth weighing. AutoGPT has a known trade-off — Can hallucinate actions on ambiguous goals. On Devin's side: Very expensive at $500/month — worth evaluating before committing if this is central to your use case. Budget a week or two to get fluent in either before judging the output.
AutoGPT is the lower-risk start here: it has a genuine free plan, while Devin does not. AutoGPT is priced Free / $29/mo and Devin $500/mo; map the tier you'd actually buy against your real usage before committing. Watch for usage caps and per-seat costs at the tier you'll really land on, not the headline price.
🚀 Ready to decide? Try both free and see which fits your workflow.
AutoGPT is an open-source autonomous AI agent framework that chains GPT-4 actions to complete multi-step tasks — browsing the web, writing f… Read the full AutoGPT review →
Devin is Cognition AI's fully autonomous software engineer — it can plan, write, debug, test, and deploy code end-to-end from a natural lang… Read the full Devin review →
• Most established agent platform with huge community
• Open-source codebase — self-host for full data control, audit the code, or contribute to the community
• Visual builder for non-developers — especially for autonomous task execution workflows where AutoGPT consistently outperforms manual approaches
• Free tier available — especially for autonomous task execution workflows where AutoGPT consistently outperforms manual approaches
• Can hallucinate actions on ambiguous goals
• Long-running tasks can drift without checkpoints
• Most autonomous coding agent available
• Handles end-to-end task completion — especially for end-to-end task autonomy workflows where Devin consistently outperforms manual approaches
• Real-time visibility into agent actions
• Integrates natively with GitHub — especially for end-to-end task autonomy workflows where Devin consistently outperforms manual approaches
• Very expensive at $500/month — worth evaluating before committing if this is central to your use case
• Struggles with ambiguous requirements — a real limitation for power users who need those capabilities