Blog comparison: add Runtime as a 16th provider
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Nobody has claimed this yet.
Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 45/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- typescript
- Domain
- content
Research direction
The issue asks for Runtime to be added to the provider comparison at upstash.com/blog/ai-agent-sandbox-providers-compared-2026. Start by locating the blog post and checking its existing provider table and correction process. Done means the Runtime entry is added with accurate pricing, isolation, persistence, tooling, and startup details from the linked sources.
Written by the indexing model from the issue text.
Description
The comparison at upstash.com/blog/ai-agent-sandbox-providers-compared-2026 invites corrections here, so here is a provider it doesn't list yet:
- Cost: $0.025 per active vCPU-hour, $0.0075 per reserved GiB-hour, no plan fee. For 1,000 one-minute agent runs that wait on a model, $0.64, against $1.11 to $5.33 at fourteen other providers' published rates, so 42% to 88% less (https://withruntime.com/docs/pricing). For jobs that keep every CPU busy, Northflank comes out lower.
- Isolation: Firecracker microVM, its own kernel per sandbox
- Persistence: pause and wake with memory kept; snapshots, forks, volumes
- Agent tooling: TypeScript, Python and Go SDKs; an MCP server; E2B, Daytona and Vercel Sandbox code runs by changing one import
- Start: first Python command 221 ms after create (https://withruntime.com/docs/speed)
Disclosure: we build Runtime. Thanks for keeping the table open to corrections.
- Dominant language
- TypeScript
- Stars
- 45
- Forks
- 7
- Avg merge
- 2d 22h
- Merged PRs (30d)
- 10
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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