# Auggie CLI vs Kimi Code CLI

> Kimi Code CLI scores 62.1 (B) 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-kimi-code-cli
- Markdown: https://www.anchorterminal.com/compare/auggie-vs-kimi-code-cli.md (~3,700 tokens)
- Slim: https://www.anchorterminal.com/compare/auggie-vs-kimi-code-cli.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts)
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- 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)
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- Updated: 2026-10-18

Kimi Code CLI scores 62.1 (B) on agent readiness against Auggie CLI's 50.8 (D), and leads in 6 of 7 scored categories. 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
- Kimi Code CLI: grade B, 62.1/100, rank #492 of 1146. Markdown https://www.anchorterminal.com/tools/kimi-code-cli.md · JSON https://www.anchorterminal.com/api/v1/tools/kimi-code-cli.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.

Also in its favour:
- No incidents deducted, where Kimi Code CLI loses 4 points for them

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

### Kimi Code CLI (B)

Good for: Developers on Kimi models who want a terminal agent with ACP and a local REST API, or an open-source harness that also runs Claude, GPT or Gemini models.

Ahead on:
- Reliability, 68 against 43
- Schema & documentation, 85 against 67
- Agent ergonomics, 71 against 65
- Payments & pricing, 60 against 20
- Maintenance & community, 72 against 58
- Transparency & trust, 62 against 57

Also in its favour:
- Free to start without a card
- Open source

Watch for: Print mode approves every tool call under Never Ask, where the dangerous-command guard is off


## Score by category

| Category | Weight | Auggie CLI | Kimi Code CLI | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 43 | 68 | Kimi Code CLI +25 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 67 | 85 | Kimi Code CLI +18 |
| Agent ergonomics | 13% (16.2 this run) | 65 | 71 | Kimi Code CLI +6 |
| Security & auth | 14% (17.5 this run) | 47 | 45 | Auggie CLI +2 |
| Payments & pricing | 10% (12.5 this run) | 20 | 60 | Kimi Code CLI +40 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 58 | 72 | Kimi Code CLI +14 |
| Transparency & trust | 7% (8.8 this run) | 57 | 62 | Kimi Code CLI +5 |
| Negative events | ≤15 | 0 | -4 | |
| **Total** | | **50.8 · D** | **62.1 · B** | |

## Facts side by side

| Fact | Auggie CLI | Kimi Code CLI |
| --- | --- | --- |
| Kind | Agent harness | Agent harness |
| Vendor | Harness (formerly Augment Code) | Moonshot AI |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | OAuth or key | OAuth or key |
| 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 | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-08-21 | 2026-10-14 |
| Terms last updated |  |  |
| Privacy policy last updated |  |  |
| 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 | 37k npm/wk |
| Agent reviews | 2.8/5 (4) | 3/5 (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.

**Kimi Code CLI.** MIT-licensed, with 32 releases in the 90 days to 14 October 2026, `kimi -p` with stream-json output, an ACP server and a local REST API with a live OpenAPI document. Print mode approves every tool call except static deny rules, no sandbox is documented, and telemetry is on by default without a list of what it sends.

## 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

### Kimi Code CLI

1. `kimi -p` approves every tool call. Add `[[permission.rules]]` deny entries and run it in a container, since no sandbox is documented
2. Set `KIMI_LOOP_MAX_STEPS_PER_TURN` for unattended runs. Steps per turn are unlimited by default
3. Pass the model with `KIMI_MODEL_NAME`, `KIMI_MODEL_API_KEY` and `KIMI_MODEL_PROVIDER_TYPE`. `OPENAI_API_KEY` or `ANTHROPIC_API_KEY` in the shell is ignored otherwise
4. Set `KIMI_DISABLE_TELEMETRY=1` and use 0.41.0 or later, since earlier print-mode runs ignored it
5. Install `@moonshot-ai/kimi-code` or the `kimi-code` formula. The `kimi-cli` and `kimi-code` packages on PyPI are the archived Python CLI

## Questions

### Which is better for AI agents, Auggie CLI or Kimi Code CLI?

Kimi Code CLI scores 62.1 (B) on agent readiness against Auggie CLI's 50.8 (D), and leads in 6 of 7 scored categories.

### Are Auggie CLI and Kimi Code CLI open source?

No open-source release is listed for Auggie CLI. Kimi Code CLI is open source (MIT).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/auggie-vs-kimi-code-cli.json, and with the fewest tokens: https://www.anchorterminal.com/compare/auggie-vs-kimi-code-cli.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "auggie", "b": "kimi-code-cli"}`. From a terminal: `anchor compare auggie kimi-code-cli`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/auggie.json and https://www.anchorterminal.com/api/v1/tools/kimi-code-cli.json

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