Devin vs Make AI Agents
Deciding between Devin and Make AI Agents? This comparison focuses on the details that actually separate these ai agents tools, from content boundaries and pricing to voice, images, memory, customization depth, and overall fit.
The biggest differences show up in image generation, roleplay depth, and custom characters.
Devin
AI AgentsView full listing on FindAIChatDevin is Cognition's autonomous software engineering agent that plans, writes code, runs tests, and iterates in a dedicated environment for end-to-end development tasks.
Built for full-task coding workflows rather than single completions
Watch for: Premium positioning versus consumer coding assistants
Make AI Agents
AI AgentsView full listing on FindAIChatMake (formerly Integromat) provides visual automation with AI steps and agent-style scenarios for connecting apps, transforming data, and running monitored workflows.
Mature scenario engine with strong connector breadth
Watch for: Pricing and operations complexity at scale
Technical Specification Comparison
| Feature Set | Devin | Make AI Agents |
|---|---|---|
| NSFW Filter | Flexible (varies by mode) | Flexible (varies by mode) |
| Pricing Model | Free & Premium | Free & Premium |
| Voice Chat | No | No |
| Image Generation | No | Yes |
| Roleplay Depth | Medium | High |
| Long-term Memory | Medium | Medium |
| Custom Characters | No | Yes |
| API Support | No | No |
What They Have in Common
- NSFW Filter: both list Flexible (varies by mode).
- Pricing Model: both list Free & Premium.
- Voice Chat: both list No.
- Long-term Memory: both list Medium.
What Will Decide It
- Image Generation
Devin offers No, while Make AI Agents offers Yes.
- Roleplay Depth
Devin offers Medium, while Make AI Agents offers High.
- Custom Characters
Devin offers No, while Make AI Agents offers Yes.
Who Should Choose Devin?
Choose Devin if you care most about built for full-task coding workflows rather than single completions, with extra emphasis on autonomous coding, software engineering, and agent.
- Built for full-task coding workflows rather than single completions
- Strong positioning for teams delegating scoped engineering work
- Useful when you want an agent that owns a task loop
- Premium positioning versus consumer coding assistants
- Best outcomes still require clear specs and review
Who Should Choose Make AI Agents?
Choose Make AI Agents if you care most about mature scenario engine with strong connector breadth, with extra emphasis on automation, visual builder, and integrations.
- Mature scenario engine with strong connector breadth
- Good middle ground between Zapier-style ops and code
- Useful for cross-system orchestration
- Pricing and operations complexity at scale
- Not a full autonomous coding agent
Top alternatives to Devin and Make AI Agents
Other leading ai agents picks from our directory—useful if you want a different balance of features than this head-to-head.
Final Expert Verdict
Both Devin and Make AI Agents are top-tier platforms. We recommend Devin for built for full-task coding workflows rather than single completions while Make AI Agents stands out for mature scenario engine with strong connector breadth. Both offer exceptional value for AI enthusiasts.
Frequently Asked Questions
Q: Is Devin better than Make AI Agents?
A: It depends on your needs. Devin is stronger for built for full-task coding workflows rather than single completions, while Make AI Agents stands out more for mature scenario engine with strong connector breadth.
Q: What is the biggest difference between Devin and Make AI Agents?
A: Image Generation is the clearest separator: Devin offers No, while Make AI Agents offers Yes.
Q: Does Devin allow NSFW content?
A: Devin is listed around Flexible (varies by mode), while Make AI Agents is listed around Flexible (varies by mode).
Q: Which is cheaper, Devin or Make AI Agents?
A: Both tools look similar on pricing posture: Free & Premium.
Q: Who should pick Devin instead of Make AI Agents?
A: Choose Devin if you care more about built for full-task coding workflows rather than single completions, especially around autonomous coding, software engineering, and agent.
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