eve-software-factory-template vs computer

Two of the top projects in Agent backends, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

22nd of 23 in Agent backends

eve-software-factory-template

eve pipeline that turns GitHub or Linear issues into reviewed draft PRs

33rd of 23 in Agent backends

computer

Durable Object virtual filesystem with container, shell and JavaScript runtimes for agents

Verdict

eve-software-factory-template ranks higher, 59 to 58. Of the 5 score parts we measure for both, eve-software-factory-template leads on 2, computer on 2 and 1 is even.

  • Adoptioncomputer leads by 42 points, 71 to 29: a wide gap.
  • FreshnessEven at 100.
  • Maintenancecomputer leads by 55 points, 90 to 35: a wide gap.
  • Easy to runeve-software-factory-template leads by 67 points, 67 to 0: a wide gap.
  • Agent-readyeve-software-factory-template leads by 40 points, 70 to 30: a wide gap.

Pick eve-software-factory-template if you are

Teams piloting agent-written pull requests with human merge

  • Reviewer is isolated from the implementer; verdicts are made against the real diff
  • Six entry points including red-CI self-repair on factory branches only

Pick computer if you are

Cloudflare developers building agents that need a persistent workspace

  • One exec entry point across container, shell and JavaScript backends, which connect lazily
  • SQLite in the Durable Object is the single authoritative store; isolate backends use Workers RPC with no sync
eve-software-factory-template vs computer: score parts and facts
What we compareeve-software-factory-templatecomputer
Score parts, out of 100
Adoption29, niche71, popular
Freshness100, active100, active
Maintenance35, patchy90, healthy
Easy to run67, easy0, hard
Agent-ready70, partly30, minimal
Facts from GitHub and the README
Stars1.2k9.6k
LicenseMIT (permissive)MIT (permissive)
Last commitSep 2026Oct 2026
Last releaseNone publishedOct 2026
LanguageTypeScriptTypeScript
DockerNoNo
GPUNot neededNot needed
arm64 or Apple SiliconNot statedNot stated

eve-software-factory-template

An eve pipeline named Foreman: label an issue factory, @mention it, or delegate from Linear, and four agents (classifier, analyst, implementer, reviewer) each run in their own sandbox and end with a draft pull request on FACTORY_REPO. The reviewer sees only the pushed branch, a factory brain keeps notes about your repo between runs, and it deploys to Vercel with GitHub and Linear connectors. For teams piloting agent-written PRs with human merge.

Who it is for: Teams piloting agent-written pull requests with human merge

Strengths

  • Reviewer is isolated from the implementer; verdicts are made against the real diff
  • Six entry points including red-CI self-repair on factory branches only
  • Local dev TUI treats runs as untrusted; GitHub writes wait for approval
  • Separate docs site; CLAUDE.md and AGENTS.md included

Weaknesses

  • Tied to eve, Vercel Connect, Vercel Sandbox and Vercel Blob
  • No model provider named in the README; model access comes through the Vercel stack
  • No tests listed
  • First task fails if the GitHub App cannot reach FACTORY_REPO; the error surfaces late
  • TypeScript, eve, ai-sdk
  • Needs vercel, github-app-connector, linear-connector, vercel-blob
  • GitHub template
  • env example file

computer

Cloudflare Computer keeps a workspace filesystem in a Durable Object's SQLite and exposes it through one `workspace.runtime.exec` call. Backends are a FUSE-mounted sandbox container (via the `computerd` daemon), a just-bash shell in a Dynamic Worker, or an ECMAScript module in a Dynamic Worker. The repo includes examples for agents built with pi, TanStack AI and `@cloudflare/think`, plus an MCP example. It is labeled preview only, with unstable APIs.

Who it is for: Cloudflare developers building agents that need a persistent workspace

Strengths

  • One exec entry point across container, shell and JavaScript backends, which connect lazily
  • SQLite in the Durable Object is the single authoritative store; isolate backends use Workers RPC with no sync
  • Container backend gives a full Linux userland through a real FUSE mount
  • Many runnable examples: pi, TanStack AI, Think, MCP, egress policies, Artifacts

Weaknesses

  • README states preview only, unstable APIs, and not suitable for production
  • Tied to Cloudflare Workers, Durable Objects and Dynamic Workers
  • Docs under docs/ are a forward-looking spec, not a description of current code
  • Unsolicited pull requests are not accepted
  • TypeScript
  • Needs Cloudflare Workers, Durable Objects, Dynamic Workers, Cloudflare Containers, just-bash

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