Product
Dagger Cloud
by Dagger
- Product website
- https://dagger.io/cloud
- Documentation
- https://docs.dagger.io/getting-started/introduction/
- Pricing
- https://dagger.io/pricing
- Status page
- https://status.dagger.io/
- Categories
- Developer Infrastructure
Description
Managed remote CI engine with distributed cache, scale-out, access control, and observability for Dagger pipelines.
AI-native score
How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?
Unrated. Only 8% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.
| Component | Raw | Weight | Contribution |
|---|---|---|---|
| Integration | 1/10 | 35% | 3.5 |
| Trust | 1/6 | 30% | 5.0 |
| Portability | 0/4 | 20% | 0.0 |
| Security | 0/4 | 15% | 0.0 |
Signals that fired
- Integration: Verified llms.txt (+1)
- Trust: Verified trust center (+1)
Signals not researched
These gaps cover the fields used in the AI-native score.
- Integration surfaces: WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Command-line interfaces, Agent skills, Developer kits
- Trust & data policy: Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap, Self-hostable, Open source
- Security & compliance: Compliance certifications, Access controls
Trust & data policy
- Trust center
- Vendor trust center
Not yet researched Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap, Self-hostable, Open source
What it does
Jobs to be done
-
View 6 productsBuild AI agents
Develop applications in which language models use tools and context to carry out tasks.
Integration surfaces
How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).
- llms.txt
- https://dagger.io/llms.txt
Not yet researched WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Command-line interfaces, Agent skills, Developer kits
Offers
No offers recorded.
Reviews
No approved reviews yet.
Catalog activity
Track how this entry changes as proposals are opened and merged.
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Developer Infrastructure
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Link your site back to this Open Agent Guide listing. The badge makes no grade claim while this product is unrated, and updates on its own once enough is verified to assign a grade.
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Ready to decide?
Unrated · 8% researched. Grade withheld until more fields are verified.