# Gemini CLI Alternatives After Google Ended Consumer Access: What to Use Now

> Google ended consumer Gemini CLI access in 2026. Compare five Gemini CLI alternatives — Octomind, Antigravity, Goose, OpenCode, and Jules.

Gemini CLI alternatives became urgent in June 2026, but the reason is easy to get wrong.

Google did not delete the Apache-licensed Gemini CLI repository. It ended the consumer “Login with Google” lane tied to Gemini Code Assist for individuals. That login stopped working on June 18, and Google directed individual developers toward the Antigravity family. Paid Code Assist Standard and Enterprise access remained for existing subscribers, and the CLI could still authenticate through Gemini API keys or Vertex AI. Google then stopped selling new Standard and Enterprise subscriptions after October 9, 2026.

For many users the offer itself — Google login, 60 requests per minute, 1,000 requests per day, and a one-million-token context window — was the product. When that lane disappeared, “the repository still exists” did not preserve the workflow or the economics they chose.

This guide starts with Octomind, for people who want Gemini available without tying the whole agent to it again. Then it covers Antigravity, Goose, OpenCode, and Jules — plus the honest option of staying on Gemini CLI through an API key.

## What happened to consumer Gemini CLI?

Google's [deprecation notice](https://developers.google.com/gemini-code-assist/docs/deprecations/code-assist-individuals) ended Gemini Code Assist for individuals across the IDE extensions and Gemini CLI. Consumer authentication stopped on June 18, 2026, with the deprecation process running into July. Google pointed individual developers to Antigravity CLI and the broader Antigravity platform.

The [Gemini CLI repository](https://github.com/google-gemini/gemini-cli) remains Apache 2.0 and active. It continues to support Gemini API key and Vertex AI authentication, with usage-based billing for higher limits; its README no longer lists a free API-key quota. The same README now says Gemini CLI “is not optimized for the latest Gemini models” and recommends Antigravity CLI for them.

So there are two migration decisions, not one:

1. If you liked the Gemini CLI software and can accept API-key or paid Google Cloud economics, you may not need to leave.
2. If you chose it because consumer login delivered a generous bundled free agent, you need a replacement product or authentication model.

Google's official successor is Antigravity, but [Antigravity CLI did not launch with complete Gemini CLI feature parity](https://9to5google.com/2026-06-17/gemini-cli-code-assist-shutting-down/). Inventory your commands, extensions, MCP use, and automation before treating it as a drop-in migration.

## What Gemini CLI users need in a replacement

Gemini CLI was more than a price point. A useful replacement may need:

- **A terminal workflow** with file, shell, web, and MCP tools.
- **Large-context models** for repository-scale understanding.
- **Transparent authentication and pricing** that will not disappear behind a product migration.
- **Automation** through CI, GitHub, an API, or background execution.
- **Open-source code** so the client remains inspectable even if a hosted lane changes.
- **Model optionality** so the next account change is not another forced migration.
- **A real execution environment** if tasks should continue when the local terminal closes.

Antigravity preserves Google's ecosystem. Goose and OpenCode preserve open local tooling and broad provider choice. Jules keeps a Google-managed free async coding path. Octomind preserves terminal portability and adds provider independence plus persistent cloud machines.

## First choice if you never want another forced migration: Octomind

Octomind avoids the failure mode that triggered this search: the agent is not synonymous with one provider's consumer login. Its current [Hub catalog](/hub) contains 36 hosted models across Claude, GPT, Gemini, DeepSeek, Qwen, Kimi, GLM, and additional families. Gemini remains available, but it is one choice in the session rather than the identity of the runtime.

The `/model provider:model` command changes the active model while the session is running and saves the choice. Start with Gemini for a long-context analysis, move to Claude or GPT for a difficult judgment, and route repetitive work to a cheaper DeepSeek, Qwen, Kimi, or GLM model without reconstructing the conversation.

The core runtime is Apache 2.0. It runs as a CLI, through plain or JSONL pipes in CI, as a long-lived daemon, over WebSocket, and behind ACP. That gives former Gemini CLI users an inspectable terminal path even if they never use the managed service.

The managed [Octomind Cloud](/cloud) adds something Gemini CLI did not include: every agent gets its own Linux machine in a container. Files, installed tools, repository state, and sessions persist through suspension. Docker works in the environment, and paid plans support custom images based on Octomind's base. Closing the local terminal does not stop remote work.

Telegram, Slack, WhatsApp, GitHub, the web panel, and the REST API all reach the same cloud sessions. Scheduled [Routines](/blog/routines-scheduled-agents) wake suspended machines, run an optional zero-token check, invoke an agent, retain file-based state, record the outcome, and deliver a notification.

The [free plan](/pricing) is the starting point: every model from your own tools, pay as you go at the provider's price, with no machine. Paid plans add machines — Pro is $50 a month, $20 the first month — with a monthly usage allowance equal to the price, then prepaid credits; higher tiers expand machine slots, storage, and concurrency.

This is not the old Gemini consumer quota under another name. It is a separate model-and-machine service with explicit limits.

### A practical Gemini CLI-to-Octomind migration

1. Put project guidance in `AGENTS.md` at the repository root.
2. Inventory Gemini CLI MCP servers and reconnect only the ones the workflow actually uses.
3. Start with the closest Gemini model in the Hub so behavior changes are easier to isolate.
4. Verify file edits, shell commands, and CI output through the Octomind CLI.
5. Test `/model` in the same named session and resume it to confirm the choice and context persist.
6. Move long-running work to a cloud machine only after you understand the local behavior.
7. Add GitHub hooks or Routines after the interactive path is reliable.

Nothing imports automatically. The migration preserves project instructions, tools, and intent while changing the runtime and the authentication model.

## Four other honest Gemini CLI alternatives

| Alternative        | Best for                                                  | Main trade-off                                                                 |
| ------------------ | --------------------------------------------------------- | ------------------------------------------------------------------------------ |
| Google Antigravity | Staying in Google's free individual agent ecosystem       | Proprietary, Google-curated model menu, and initially short of full CLI parity |
| Goose              | Open-source local general-purpose work with 15+ providers | No first-party hosted machine                                                  |
| OpenCode           | Huge open-source community and 75+ providers              | No first-party cloud computer                                                  |
| Jules              | Free async GitHub issue-to-PR work                        | Gemini-only, ephemeral VMs, and hard daily task caps                           |

### Google Antigravity: the official successor

[Google Antigravity](https://antigravity.google/) is where Google points individual developers. Its individual plan costs $0 with weekly rate limits, and it spans an IDE, CLI, desktop command center, Python SDK, extensions, and web remote control. It manages multiple concurrent local agents, background subagents, Projects, Skills, Hooks, and Extensions.

In a Gemini CLI vs Antigravity decision, choose Antigravity if staying inside Google's ecosystem matters more than open-source licensing or model choice. It is proprietary, and its [model menu](https://antigravity.google/docs/models) is Google's pick: Gemini models plus Claude Sonnet and Opus, with GPT-OSS 120B listed until November 2, 2026. Gemini 4 Argon, Claude Opus 5.5, and Claude Sonnet 5.5 require a paid Google AI Pro or Ultra plan. Because the CLI launched without complete predecessor parity, test the particular Gemini CLI features you depend on. See also our full [Octomind vs Google Antigravity comparison](/blog/octomind-vs-google-antigravity).

### Goose: the open, local, general-purpose choice

[Goose](https://goose-docs.ai/) is Apache 2.0 under the Agentic AI Foundation at the Linux Foundation. It runs as a desktop app, CLI, or embeddable API and supports more than 15 providers, including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, and Bedrock. It adds recipes, subagents, safety controls, and more than 70 MCP extensions.

Goose is a strong replacement for users who liked an open CLI but no longer want Google-only inference. It is general-purpose rather than code-only and can reuse some existing subscriptions through ACP. The trade-off is local execution: there is no first-party managed cloud machine in the version we reviewed.

### OpenCode: the maximal provider-freedom option

[OpenCode](https://opencode.ai/) is an MIT-licensed terminal agent with desktop and IDE surfaces. Our September 2026 research recorded roughly 203,000 GitHub stars and more than 75 providers through Models.dev, including local models. It can also authenticate through some existing Copilot, ChatGPT, and Claude subscriptions.

The optional [Zen](https://opencode.ai/docs/zen/) gateway offers curated pay-per-token models and some free options. In a Gemini CLI vs OpenCode choice, OpenCode is ideal for people who want community momentum, fast releases, and the broadest practical provider menu. Like Goose, it does not document a first-party persistent cloud machine.

### Jules: the Google async coding route

[Jules](https://jules.google/) is Google's asynchronous coding agent rather than a general terminal replacement. It takes GitHub tasks from the web, a `jules` issue label, CLI, or API, works in an ephemeral Google Cloud VM, shows a plan and diff, and opens a pull request.

The free tier includes [15 tasks per day and three concurrent tasks](https://jules.google/docs/usage-limits/) with Gemini 2.5 Pro. Google AI Pro and Ultra raise those caps. Choose Jules when your real use case was never terminal conversation but “turn GitHub issues into PRs.” It remains Gemini-only and does not preserve a personal machine between tasks.

## Staying on Gemini CLI is still an option

If you value Gemini CLI's one-million-token context, Google Search grounding, MCP, GitHub Action, and active Apache-licensed repository, an API key may be the smallest migration. The repository's documented API-key lane moves to usage-based billing for higher limits, and paid Code Assist Standard or Enterprise access remains for existing organizational subscribers; Google stopped selling new subscriptions after October 9, 2026.

This route preserves the software and changes the economics. It does not restore the discontinued consumer login, and Google now says Gemini CLI is not optimized for the latest Gemini models. Track API usage explicitly and verify the current Gemini CLI quota in Google's own documentation because free API allowances can change independently of the CLI.

## Which Gemini CLI alternative should you pick?

Pick Antigravity if you want Google's official no-charge successor and can accept proprietary tooling with a Google-curated model menu. Pick Goose if you want an open local general-purpose agent. Pick OpenCode if provider breadth and community scale come first. Pick Jules if GitHub issue-to-PR delegation is the actual job. Stay on Gemini CLI with an API key if the client itself remains the best fit.

Pick Octomind if this shutdown convinced you to separate runtime, model provider, and execution machine: Apache-licensed core, 36 hosted models, live switching, persistent Linux computers, chat channels, APIs, and Routines.

## FAQ

### Is Gemini CLI dead?

No. The open-source Gemini CLI repository remains active. What ended was consumer Google-login access through Gemini Code Assist for individuals. API-key and Vertex AI paths remain, and existing paid organization subscriptions continue, but Google stopped selling new Standard and Enterprise subscriptions after October 9, 2026 and now says Gemini CLI is not optimized for the latest Gemini models.

### When did consumer Gemini CLI access end?

Google-login access for the consumer lane stopped on June 18, 2026, with the broader deprecation process extending into July. Google's deprecation notice is the authoritative source.

### What did Google replace Gemini CLI with?

Google directed individual developers to the Antigravity family, including Antigravity CLI. The successor launched without complete Gemini CLI feature parity, so test it rather than assuming a drop-in replacement.

### Which alternative supports the most providers?

OpenCode documents more than 75 providers, while Goose documents more than 15. Octomind's managed Hub currently lists 36 curated hosted models and supports switching within a live session. The best choice depends on whether you want direct provider plumbing or managed access.

### Which alternative keeps working when my laptop is off?

Octomind gives cloud agents persistent Linux machines that keep working remotely. Jules works asynchronously in ephemeral per-task VMs. Antigravity focuses on local agents with remote control, while Goose and OpenCode are local-first unless you provide a remote host.

Keep Gemini as an option, not a dependency: [use the hub](/hub) from your own tools.
