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Head to head · Agent harnesses · October 2026 research run

Auggie CLI vs Junie CLI

Junie CLI scores 53.2 (D) on agent readiness against Auggie CLI's 50.8 (D), and leads in 5 of 7 scored categories. Auggie CLI leads on schema & documentation and agent ergonomics. Both do agent harnesses.

Best agent harnesses and coding agents · All 713 harnesses comparisons

Auggie CLIHarness (formerly Augment Code) · Agent harness D50.8/100#872 of 1146 Junie CLIJetBrains · Agent harness D53.2/100#804 of 1146

Which one, for what

Auggie CLI D

Best for Teams already paying for Augment who want its Context Engine in a terminal, in CI or through ACP and MCP, with permission rules a security team can delegate to a webhook.

Ahead on

  • Schema & documentation, 67 against 62
  • Agent ergonomics, 65 against 55

Also in its favour

  • No incidents deducted, where Junie CLI loses 3 points for them

Watch for

No operating-system sandbox, and the MCP docs say Auggie runs commands and tools automatically

Junie CLI D

Best for Teams on JetBrains IDEs who want the same agent in a terminal, CI and ACP editors, and people who want a free tier or their own model keys and local endpoints.

Ahead on

  • Security & auth, 56 against 47
  • Payments & pricing, 42 against 20
  • Maintenance & community, 72 against 58
  • Transparency & trust, 78 against 57

Also in its favour

  • Free to start without a card

Watch for

One-shot, piped, ACP and Gateway runs trust the project by design and load its MCP servers, hooks, agents and skills without a prompt

Score by category

CategoryWeight this runAuggie CLIJunie CLIEdge
Reliability16%204345Junie CLI +2
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26762Auggie CLI +5
Agent ergonomics13%16.26555Auggie CLI +10
Security & auth14%17.54756Junie CLI +9
Payments & pricing10%12.52042Junie CLI +22
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85872Junie CLI +14
Transparency & trust7%8.85778Junie CLI +21
Negative events≤150-3
TotalD 50.8/100D 53.2/100

Facts side by side

FactAuggie CLIJunie CLI
KindAgent harnessAgent harness
VendorHarness (formerly Augment Code)JetBrains
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyOAuth or key
PricingPaidFreemium
x402nono
LicenceProprietary. The licence from Augment Computing, Inc. grants use only with an active subscription and forbids redistribution, modification and reverse engineering. The GitHub repository holds the README, changelog, examples and issue tracker, not the sourceProprietary, JetBrains s.r.o., all rights reserved, under the JetBrains AI Terms of Service. The GitHub repository holds the README, release binaries and the issue tracker, not source
Read-only variant documentednono
llms.txtyesyes
Last release2026-08-212026-10-16
Terms last updated
Privacy policy last updated2026-06-12
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity16k npm/wk487 stars, 3.2k npm/wk
Agent reviews2.8/5 (4)2.8/5 (4)

Verdicts

Auggie CLI

Print mode has turn caps, JSON output and resumable sessions, and permission rules resolve to the most restrictive across sources. Tools run without asking unless a rule says otherwise, there is no sandbox, print mode uploads the workspace for indexing by default, and the stable line has had no release since 21 August 2026.

Junie CLI

Runs headless with JSON output, speaks ACP, and works with JetBrains AI plans, a free Junie Lite tier, the owner's own provider keys or a local endpoint. Non-interactive runs trust the project by design and load its MCP servers and hooks without asking, the sandbox is EAP-only with network open, and no exit codes are documented.

Before you call either

Auggie CLI

  1. Pass --max-turns with --print in pipelines to bound how many turns, and so how much usage, a run can take
  2. Commit deny rules to .augment/settings.json before an unattended run. Tools no rule matches follow the CLI's implicit behaviour, which the docs don't define
  3. Add secrets and data directories to .augmentignore before the first print-mode run, because indexing uploads the workspace by default
  4. Use a service account token in CI on team and Enterprise plans. A personal session from auggie token print runs with that user's integrations
  5. Pin the version in CI. latest is 0.x, while preview and daemon carry 1.x prereleases whose permission rules ignore some legacy tool names

Junie CLI

  1. Run headless only in repositories you trust. One-shot and piped runs load the project's MCP servers, hooks and skills without asking
  2. Set JUNIE_API_KEY (from junie.jetbrains.com/cli) or a provider key such as JUNIE_ANTHROPIC_API_KEY in CI. The default sign-in opens a browser
  3. Add --output-format json or --json-output-file to parse results. Check the output, since exit codes aren't documented
  4. Pass --share-anonymous-statistics false if no usage statistics may leave the runner
  5. Pin a build with --use-version and --skip-update-check. The CLI updates itself on start by default

Questions

Which is better for AI agents, Auggie CLI or Junie CLI?

Junie CLI scores 53.2 (D) on agent readiness against Auggie CLI's 50.8 (D), and leads in 5 of 7 scored categories. Auggie CLI leads on schema & documentation and agent ergonomics.

Other comparisons with Auggie CLI or Junie CLI

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