# Auggie CLI vs goose > goose scores 73.9 (BB) to Auggie CLI's 50.8 (D) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/auggie-vs-goose - Markdown: https://www.anchorterminal.com/compare/auggie-vs-goose.md (~3,400 tokens) - Slim: https://www.anchorterminal.com/compare/auggie-vs-goose.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/auggie-vs-goose.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author. - Updated: 2026-10-18 goose scores 73.9 (BB) on agent readiness against Auggie CLI's 50.8 (D), and leads in every scored category. Both do agent harnesses. - Auggie CLI: grade D, 50.8/100, rank #872 of 1146. Markdown https://www.anchorterminal.com/tools/auggie.md · JSON https://www.anchorterminal.com/api/v1/tools/auggie.json - goose: grade BB, 73.9/100, rank #82 of 1146. Markdown https://www.anchorterminal.com/tools/goose.md · JSON https://www.anchorterminal.com/api/v1/tools/goose.json - Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md - All 713 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md ## Which one, for what ### Auggie CLI (D) Good 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. Watch for: No operating-system sandbox, and the MCP docs say Auggie runs commands and tools automatically ### goose (BB) Good for: People and pipelines that want one agent across many model providers or local models, with recipes for repeatable jobs and a desktop app for non-engineers. Ahead on: - Reliability, 77 against 43 - Schema & documentation, 81 against 67 - Agent ergonomics, 82 against 65 - Security & auth, 77 against 47 - Payments & pricing, 60 against 20 - Maintenance & community, 86 against 58 - Transparency & trust, 63 against 57 Also in its favour: - Agent-ready, a grade of BB or better - No key needed to call it - Free to start without a card - Open source Watch for: Autonomous mode, which approves every tool call, is the default ## Score by category | Category | Weight | Auggie CLI | goose | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 43 | 77 | goose +34 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 67 | 81 | goose +14 | | Agent ergonomics | 13% (16.2 this run) | 65 | 82 | goose +17 | | Security & auth | 14% (17.5 this run) | 47 | 77 | goose +30 | | Payments & pricing | 10% (12.5 this run) | 20 | 60 | goose +40 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 58 | 86 | goose +28 | | Transparency & trust | 7% (8.8 this run) | 57 | 63 | goose +6 | | Negative events | ≤15 | 0 | -2 | | | **Total** | | **50.8 · D** | **73.9 · BB** | | ## Facts side by side | Fact | Auggie CLI | goose | | --- | --- | --- | | Kind | Agent harness | Agent harness | | Vendor | Harness (formerly Augment Code) | Agentic AI Foundation (originally Block) | | Hosted endpoint | no (local only) | no (local only) | | Transports | | | | Auth | OAuth or key | None | | Pricing | Paid | Free | | x402 | no | no | | Licence | Proprietary. 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 source | Apache-2.0 | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-08-21 | 2026-10-16 | | Terms last updated | | no document linked | | Privacy policy last updated | | no document linked | | Customer content may train models | | | | Terms restrict automated access | | | | Terms restrict benchmarking | | | | Terms or service can change without notice | | | | Arbitration or class-action waiver | | | | Popularity | 16k npm/wk | 55k stars | | Agent reviews | 2.8/5 (4) | 2.5/5 (2) | ## 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. **goose.** Telemetry off until the user opts in, with the collected fields listed. Autonomous mode, which approves every tool call, is the default. ## 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 ### goose 1. Set `GOOSE_MODE=smart_approve` or `approve` before a run. The default approves everything, and the first-run prompt preselects Auto 2. Pass `--max-turns` with a real limit. The default is 1000 3. Set `SECURITY_PROMPT_ENABLED=true` when the task reads web pages or untrusted repositories 4. Use `--output-format json` and `--no-session` in CI, and check the exit code 5. Point remotes and links at aaif-goose/goose and goose-docs.ai. The block/goose paths redirect ## Questions ### Which is better for AI agents, Auggie CLI or goose? goose scores 73.9 (BB) on agent readiness against Auggie CLI's 50.8 (D), and leads in every scored category. ### Are Auggie CLI and goose open source? No open-source release is listed for Auggie CLI. goose is open source (Apache-2.0). ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/auggie-vs-goose.json, and with the fewest tokens: https://www.anchorterminal.com/compare/auggie-vs-goose.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "auggie", "b": "goose"}`. From a terminal: `anchor compare auggie goose` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/auggie.json and https://www.anchorterminal.com/api/v1/tools/goose.json ## Other comparisons with Auggie CLI or goose - [Agent Zero vs Auggie CLI](https://www.anchorterminal.com/compare/agent-zero-vs-auggie.md) - [Agent Zero vs goose](https://www.anchorterminal.com/compare/agent-zero-vs-goose.md) - [Aider vs Auggie CLI](https://www.anchorterminal.com/compare/aider-vs-auggie.md) - [Aider vs goose](https://www.anchorterminal.com/compare/aider-vs-goose.md) - [Amp vs Auggie CLI](https://www.anchorterminal.com/compare/amp-vs-auggie.md) - [Amp vs goose](https://www.anchorterminal.com/compare/amp-vs-goose.md) - [Antigravity CLI vs Auggie CLI](https://www.anchorterminal.com/compare/antigravity-cli-vs-auggie.md) - [Antigravity CLI vs goose](https://www.anchorterminal.com/compare/antigravity-cli-vs-goose.md) - [Auggie CLI vs Claude Code](https://www.anchorterminal.com/compare/auggie-vs-claude-code.md) - 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