deepseek-harness vs eve-software-factory-template

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.

11st of 19 in Agent backends

deepseek-harness

Plugin-based agent harness from DeepSeek with a local Web UI

70 out of 100
22nd of 19 in Agent backends

eve-software-factory-template

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

61 out of 100

Verdict

deepseek-harness ranks higher, 70 to 61. Of the 5 score parts we measure for both, deepseek-harness leads on 3, eve-software-factory-template on 1 and 1 is even.

  • Adoptiondeepseek-harness leads by 61 points, 99 to 38: a wide gap.
  • FreshnessEven at 100.
  • Maintenancedeepseek-harness leads by 65 points, 100 to 35: a wide gap.
  • Easy to runeve-software-factory-template leads by 67 points, 67 to 0: a wide gap.
  • Agent-readydeepseek-harness leads by 15 points, 85 to 70: a wide gap.

Pick deepseek-harness if you are

Developers building agents through plugins, tolerant of breaking changes

  • Starts with one npx command; no Docker or database mentioned
  • Everything-is-a-plugin design on Cordis, with a dsh-plugin topic for discovery

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
deepseek-harness vs eve-software-factory-template: score parts and facts
What we comparedeepseek-harnesseve-software-factory-template
Score parts, out of 100
Adoption99, widely used38, known
Freshness100, active100, active
Maintenance100, healthy35, patchy
Easy to run0, hard67, easy
Agent-ready85, ready70, partly
Facts from GitHub and the README
Stars249.7k1.2k
LicenseMIT (permissive)MIT (permissive)
Last commitOct 2026Sep 2026
Last releaseNone publishedNone published
LanguageTypeScriptTypeScript
DockerNoNo
GPUNot statedNot needed
arm64 or Apple SiliconNot statedNot stated

deepseek-harness

DeepSeek Harness (`dsh`) is a TypeScript agent harness built on the Cordis plugin framework, where every component is a plugin. It runs via `npx @deepseek-ai/dsh web` or from a source checkout with pnpm, and serves a Web UI at 127.0.0.1:3080 by default. It is a developer preview, and the README warns of compatibility-breaking changes.

Who it is for: Developers building agents through plugins, tolerant of breaking changes

Strengths

  • Starts with one npx command; no Docker or database mentioned
  • Everything-is-a-plugin design on Cordis, with a dsh-plugin topic for discovery
  • MIT license, documentation site and third-party license notices
  • Web UI binds to 127.0.0.1 by default; --no-open skips the browser

Weaknesses

  • Developer preview; README warns of compatibility-breaking changes
  • No tagged release published
  • README does not list supported models, providers or system requirements
  • Safety notice must be read before running; its contents are not in the README
  • TypeScript
  • Needs Node.js, pnpm (source build)

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

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