The 10 Best AI Terminal Coding Agents in 2026, Compared
The command line has become one of the main places developers work with AI. Terminal agents read a repository, plan a change, edit files, run tests and shell commands, and hand back a diff for review. Because they sit in the shell rather than inside one editor, they work alongside Vim, JetBrains, VS Code or no editor at all, and they slot into scripts and CI pipelines.
We picked 10 agents from the 24 terminal tools profiled on All About AI, plus Aider from our coding category. The list splits into two camps: vendor agents tied to one model family and subscription, such as Claude Code, Codex CLI and Copilot CLI, and open or provider-neutral agents, such as OpenCode, Aider and Goose, where you bring your own model. Each entry covers what the tool does, who it suits, key features, pros, cons, pricing and a bottom line, with prices from vendor pages as of late October 2026.
One rule applies to every tool here: these agents can modify files and run commands on your machine. Learn each one's approval and sandbox settings before you let it run unattended.
10 best AI terminal coding agents: TL;DR
- Claude Code: Best overall terminal coding agent
- OpenAI Codex CLI: Best for ChatGPT subscribers and sandboxed work
- GitHub Copilot CLI: Best for GitHub-centered teams
- Gemini CLI: Best for Google Cloud users
- OpenCode: Best open-source agent with any model
- Aider: Best Git-native pair programmer
- Warp: Best AI-native terminal app
- Goose: Best free local agent for code and workflows
- Factory Droid: Best for delegated team workflows and enterprise control
- Amp: Best for long-running remote agents
How we chose these tools
We ranked agents on five criteria:
- Repository work: the agent must read code, edit multiple files, run tests and show diffs, not only answer questions.
- Safety controls: approval prompts, sandboxing, permission modes and checkpoints count for a lot when an agent has shell access.
- Model access: we noted which tools lock you to one vendor and which let you bring your own keys or local models.
- Automation: headless modes, JSON output and CI support make an agent useful beyond interactive sessions.
- Cost clarity: we flagged rolling limits, credit systems and separate inference bills.
Comparison table
| Tool | Best for | Free option | Paid from | Open source |
|---|---|---|---|---|
| Claude Code | Overall | No (needs Pro) | $20/month | No |
| Codex CLI | ChatGPT users | Limited, time-bound | $20/month (ChatGPT Plus) | Client, Apache 2.0 |
| Copilot CLI | GitHub teams | Copilot Free | $10/month | No |
| Gemini CLI | Google Cloud | API free tier | Usage-based | Apache 2.0 |
| OpenCode | Any model | Free client and models | $10/month (Go) | MIT |
| Aider | Git workflows | Free software | Model costs only | Apache 2.0 |
| Warp | AI terminal app | Free plan | $18/month | Client, AGPL v3 |
| Goose | Local automation | Free software | Model costs only | Apache 2.0 |
| Factory Droid | Team delegation | No | $20/month | No |
| Amp | Remote agents | Hobby plan | $20/month | No |
1. Claude Code
What it does: Claude Code is Anthropic's agentic coding tool. It reads repositories, edits files, runs commands and handles Git work from the terminal, VS Code, JetBrains, a desktop app and the web.
Best for: Developers handling multi-file features, migrations, tests and debugging who want the strongest all-round agent.
A Claude Code session starts in a project directory. You describe the task, and the agent examines the relevant files, proposes a plan, edits code, runs tests or shell commands and reports back. It can stage changes, write commit messages, create branches and open pull requests. CLAUDE.md files, skills, hooks, permissions and MCP connections to services such as Jira, Slack and Google Drive shape its behavior per project, and it can spawn subagents for parallel work.
Beyond the terminal, GitHub Actions and GitLab CI/CD support automated review and issue triage, and desktop and web sessions add visual diffs, parallel cloud tasks and scheduled work. Anthropic introduced multi-agent Code Review for Teams and Enterprise in March 2026, and said that month that Claude Code's run-rate revenue had passed $2.5 billion.
Claude Code is not on the free plan, and subscription usage limits can interrupt long sessions.
Key features
- Plan, edit, test: full repository tasks with diffs.
- Git workflow: branches, commits and pull requests.
- Customization: CLAUDE.md, skills, hooks and MCP.
- Many surfaces: terminal, IDEs, desktop, web and CI.
Pros
- Strong multi-file and long-task performance.
- Deep customization per project.
- Team and Enterprise admin and spend controls.
Cons
- Requires a paid plan or API billing.
- Rolling limits can stop long sessions.
- Consumer users must manage the training setting.
Pricing
- Pro: $20/month or $200/year, includes Claude Code.
- Max: $100 or $200/month for 5x or 20x Pro usage.
- Team: $25/member/month ($20 billed annually).
- API: usage-based, for example Sonnet 5.5 at $2/$10 per million tokens.
Bottom line
Claude Code is the most capable and customizable terminal agent for everyday engineering. Read the full Claude Code review, our Claude Code setup guide, or compare Claude Code vs Codex CLI.
2. OpenAI Codex CLI
What it does: Codex CLI is OpenAI's open-source terminal coding agent, which inspects repositories, edits files, runs commands and supports automation, signed in with ChatGPT or an API key.
Best for: Developers already paying for ChatGPT who want a sandboxed terminal agent.
The client is licensed under Apache 2.0 and runs on macOS, Linux and Windows. A session begins with a request such as fixing a failing test; Codex inspects files, applies changes, runs commands and reports results. Workspace-write sandboxing, approval prompts and unattended modes give you a range of control, and JSON output and non-interactive execution suit scripts and CI. Image attachments, web search, multi-agent tools and worktrees are documented.
Signing in with ChatGPT is the simplest route: Plus at $20 a month includes the CLI, IDE extension, web and iOS access. API-key users pay by token, for example $1.75 per million input tokens and $14 per million output tokens for GPT-5.3-Codex, but lose Codex cloud features.
Usage on subscription plans depends on model and task complexity, and limits can change.
Key features
- Sandbox and approvals: control file and command access.
- Headless mode: JSON output for CI.
- ChatGPT or API login: subscription or token billing.
- Multi-agent tools and worktrees: parallel work.
Pros
- Open-source client.
- Strong sandbox controls.
- Included with ChatGPT plans.
Cons
- Usage limits vary by task.
- API login excludes cloud features.
- Tied mainly to OpenAI models.
Pricing
- Free: limited access for a limited time.
- ChatGPT Plus: $20/month.
- ChatGPT Pro: $200/month with about six times Plus usage.
- API: usage-based.
Bottom line
Codex CLI is the natural terminal agent for ChatGPT subscribers who value sandboxing. See the full Codex CLI review.
3. GitHub Copilot CLI
What it does: Copilot CLI is GitHub's terminal coding agent. It plans and makes changes in local repositories using GitHub issues, pull requests and history as context.
Best for: Developers and teams whose work runs through GitHub.
Launched in public preview in September 2025, Copilot CLI replaced the older gh-copilot extension, which only suggested commands. Run copilot in a repository and describe a task: the agent inspects files, proposes a plan, edits, debugs and runs commands. GitHub says every file change and command requires explicit approval. A built-in GitHub MCP server connects the session to issues and pull requests, and custom MCP servers and agents extend it.
Copilot CLI is included in every Copilot plan, including Free, so teams that already pay for Copilot get it at no extra cost, with Business and Enterprise policy controls. Agent interactions draw on monthly AI Credits, where one credit equals $0.01 and use depends on the model chosen.
It relies on GitHub authentication and hosted inference, so local-only or arbitrary providers are not an option.
Key features
- GitHub context: issues, pull requests and history.
- Approval on every action: file changes and commands.
- MCP and custom agents: extend the default setup.
- Model picker: on eligible plans.
Pros
- Included in all Copilot plans.
- Organization policy controls.
- Explicit approvals by default.
Cons
- Uses monthly AI Credits.
- No local models.
- Requires a GitHub account.
Pricing
- Copilot Free: $0 with limited agent usage.
- Copilot Pro: $10/month; Pro+ $39; Max $100.
- Business: $19/user/month.
- Enterprise: $39/user/month.
Bottom line
Copilot CLI is the easiest terminal agent to roll out for teams already on Copilot. Read the full GitHub Copilot CLI review.
4. Gemini CLI
What it does: Gemini CLI is Google's open-source terminal agent for coding and research, with file and shell tools, Google Search grounding and MCP extensions.
Best for: Developers and teams on Google Cloud, Vertex AI or Gemini Code Assist.
Google launched Gemini CLI on June 25, 2025, under Apache 2.0, and its repository passed 107,000 stars by October 2026. The agent reads and edits files, runs shell commands, fetches web content and grounds answers in Google Search. GEMINI.md files hold project instructions, checkpointing lets you resume, and extensions connect databases, BigQuery, Cloud Run and security analysis. Headless mode returns text or JSON for automation.
Access changed in 2026. Google ended the free consumer route for personal Google accounts, including AI Pro and Ultra, on June 18, 2026, moving those users to Antigravity CLI. Gemini CLI now runs through the Gemini API, with a free tier of 250 Flash requests a day, Vertex AI, or Gemini Code Assist licenses with 1,500 to 2,000 daily requests.
The repository also notes it is not yet optimized for Gemini 4 Argon.
Key features
- Search grounding: Google Search in the terminal.
- Extensions: BigQuery, Cloud Run, databases and more.
- Headless mode: JSON and streaming output.
- GEMINI.md: persistent project instructions.
Pros
- Open source under Apache 2.0.
- Strong Google Cloud integration.
- Free API tier for light use.
Cons
- Consumer account access ended in June 2026.
- Billing and quotas need setup.
- Not optimized for the newest Gemini model.
Pricing
- Client: free.
- Gemini API free tier: 250 requests a day, Flash models only.
- Gemini API and Vertex AI: usage-based.
- Gemini Code Assist: Standard and Enterprise licenses via Google Cloud.
Bottom line
Gemini CLI is the best fit for teams building on Google Cloud. See the full Gemini CLI review or compare Gemini CLI vs Claude Code.
5. OpenCode
What it does: OpenCode is an MIT-licensed coding agent for the terminal, desktop and IDEs that works with more than 75 model providers, including local models.
Best for: Developers who want an open-source agent and freedom to switch models.
OpenCode's site reports more than 215,000 GitHub stars and more than 16 million developers a month. Run opencode in a project and /init creates an AGENTS.md file describing structure and conventions. A build agent edits files and runs commands, while a plan agent is read-only by default and asks before bash commands, which makes it easy to explore safely before changing code. LSP integration gives the agent language-aware context.
You can connect OpenAI, Anthropic, Google, xAI, GitHub Copilot, a ChatGPT Plus or Pro subscription, local models, or OpenCode's own Zen and Go services. The client is free and includes free models with a stated quota of 200 requests a day.
Provider choice makes pricing and data terms depend on your route, and free and Go limits can interrupt sessions.
Key features
- 75+ providers: hosted and local models.
- Plan and build agents: read-only exploration before edits.
- AGENTS.md: project conventions.
- Terminal, desktop and IDE clients: same setup everywhere.
Pros
- MIT license.
- Free client with free models.
- Use existing ChatGPT or Copilot subscriptions.
Cons
- Pricing and privacy depend on provider.
- Rolling limits on Go.
- Two major versions can confuse installs.
Pricing
- Client and free models: $0.
- OpenCode Go: $10/month.
- Go Plus: $40/month.
- Direct providers and Zen: usage-based.
Bottom line
OpenCode is the most popular open-source terminal agent for developers who want model freedom. Read the full OpenCode review or compare OpenCode vs Aider.
6. Aider
What it does: Aider is an open-source AI pair programmer that runs in the terminal, maps your Git repository and commits each change with a generated message.
Best for: Developers who want AI edits to fit their existing Git habits.
Aider has been around since May 2023 and is licensed under Apache 2.0. It builds a repository map, accepts a request in chat and edits the files you add to the session. Every change becomes a Git commit, so you review with git diff and undo with familiar Git commands. Code, architect, ask and help modes, linting and testing, voice-to-code, image and web-page context, and Python scripting are documented.
Aider sells no subscription. You connect a hosted provider, GitHub Copilot, OpenRouter or local models through Ollama, and pay only for model usage. Analytics are opt-in and exclude code, prompts and keys.
It needs more setup than a hosted product, and costs depend entirely on the model you connect.
Key features
- Repository map: context for large codebases.
- Automatic commits: every edit is a Git commit.
- Chat modes: code, architect, ask and help.
- Scripting: command line and Python.
Pros
- Free and open source.
- Natural Git review and undo.
- Works with local models.
Cons
- Model costs are separate.
- No team admin features.
- More configuration needed.
Pricing
- Aider software: $0.
- Cloud models: provider rates.
- GitHub Copilot route: your Copilot subscription.
- Local Ollama: no API charge.
Bottom line
Aider is the best choice for developers who want a lightweight, Git-first agent. See the full Aider review.
7. Warp
What it does: Warp is an AI-native terminal app with an agent mode, cloud agents, shared team workflows and a standalone agent CLI that runs in other terminals.
Best for: Developers who want AI built into the terminal itself.
Warp, founded by Zach Lloyd, launched in public beta in 2022 and now runs on macOS, Linux and Windows, with an AGPL v3 client. Commands appear as structured blocks with searchable output and an editor-like input. Agent Mode turns natural-language requests into multi-turn work: it reads project context, runs commands, proposes edits and shows diffs. Codebase Context indexes Git repositories for semantic retrieval, and Warp Drive shares notebooks and workflows across a team.
Warp also hosts other agents, including Claude Code and Codex, and its Warp Agent CLI, released in August 2026, runs inside Ghostty, iTerm2 and VS Code terminals with model routing and cloud handoff. Warp reported a 61.14% Terminal-Bench 2.0 score with GPT-5.2.
Free users get no bundled agent allowance, and inference beyond the included usage costs extra.
Key features
- Agent Mode: commands, edits and diffs in the terminal.
- Codebase Context: semantic search across repos.
- Cloud agents: background tasks.
- Warp Drive: shared notebooks and workflows.
Pros
- Modern terminal with AI built in.
- Works with other CLI agents.
- Bring your own key.
Cons
- Usage beyond allowances costs extra.
- Requires an account for many features.
- Strongest controls are Enterprise-only.
Pricing
- Free: $0 with pay-as-you-go inference.
- Build: $18/month with $20 of agent usage.
- Max: $180/month with $200 of usage.
- Business: $45/seat/month.
Bottom line
Warp is the best pick if you want to replace your terminal app and get an agent built in. Read the full Warp review.
8. Goose
What it does: Goose is Block's open-source AI agent for code and workflows, running locally as a desktop app, CLI or API with MCP extensions and any model provider.
Best for: Technical teams who want a free, local agent for coding and broader automation.
Block launched Goose on January 28, 2025, under Apache 2.0, and it has since joined the Linux Foundation's Agentic AI Foundation. Goose edits files, runs commands and tests, and extends through MCP to web access, memory, browser automation and app-specific actions. Recipes save repeatable workflows, sessions resume across desktop and CLI, and permission modes range from automatic to approval before every action, set per extension.
Goose supports Anthropic, OpenAI, Google, OpenRouter, Azure, Amazon Bedrock and local Ollama models, and it can delegate to external agents such as Claude Code or Codex. There is no paid Goose plan; you pay your model provider or run models locally.
Results depend on the model and hardware you choose, and extensions can reach external systems, so permissions need care.
Key features
- MCP extensions: connect tools and services.
- Recipes: reusable automated workflows.
- Permission modes: per-extension control.
- Desktop, CLI and API: local execution.
Pros
- Free and open source.
- Local models via Ollama.
- Useful beyond coding.
Cons
- Model costs are separate.
- Setup varies by provider.
- Extensions carry access risk.
Pricing
- Goose software: $0.
- Model providers: usage-based; local Ollama has no API charge.
Bottom line
Goose is the best free agent for teams who want local control across code and workflows. See the full Goose review.
9. Factory Droid
What it does: Factory Droid is an agentic development tool that plans, edits, tests and reviews repository changes through a CLI, desktop app, SDK and cloud or local background agents.
Best for: Engineering teams delegating repository work with enterprise controls.
Factory, founded in 2023, released Droid broadly in September 2025 after a $50 million Series B. In the terminal, Droid reads the repository and instructions, proposes a plan, runs commands, edits files, executes tests and presents a diff. droid exec runs headless jobs, and Missions, subagents, skills, plugins, hooks and MCP extend it. Autonomy levels, sandboxing, worktrees and Droid Shield secret scanning limit risky actions.
Droid is model-agnostic, with native models, Factory Router, your own keys and local endpoints. Work can stay local, move to a managed Droid Computer in the cloud or run in automated pipelines. Business and Enterprise add SSO, SCIM, audit logs, data residency and on-premise deployment.
Rolling limits make high-volume spending harder to forecast, and Business pricing is not published.
Key features
- Background agents: local or cloud execution.
- Headless exec: CI and scheduled jobs.
- Droid Shield: secret scanning.
- Model routing: any provider or local endpoint.
Pros
- Several execution modes.
- Strong enterprise options, including on-premise.
- Team plan with shared cloud hours.
Cons
- No free tier.
- Rolling usage limits.
- Business pricing unpublished.
Pricing
- Pro: $20/month.
- Plus: $100/month; Max $200/month.
- Teams: $60/month per team plus $40 per seat.
- Business and Enterprise: custom.
Bottom line
Factory Droid suits teams that want to delegate engineering work under tight governance. Read the full Factory Droid review.
10. Amp
What it does: Amp is a terminal and web coding agent that runs tasks on remote machines called Orbs, which keep working after you close your laptop.
Best for: Developers who want persistent agents and provider choice.
Amp became independent from Sourcegraph in December 2025. Each thread can use an Orb, a remote computer where the agent gets a repository, tools and a task, and you can resume it from the web, terminal or phone. Self-hosted Orbs and user-owned runners keep compute on your own machines. Teams share threads, portals, plugins, skills and pooled credits.
Since a September 2026 update, Amp charges no token fees for bring-your-own-key or linked ChatGPT and Claude subscriptions, and routing covers Anthropic, OpenAI, Google, xAI, Bedrock, Vertex, Azure and OpenRouter. The free Hobby tier includes every product feature and unlimited self-hosted Orbs.
Hosted Orb minutes and model credits are budgeted separately, and Amp's terms prohibit regulated sensitive data.
Key features
- Orbs: remote machines that keep running.
- Self-hosted Orbs: no Amp fee.
- BYOK and linked subscriptions: no token fees.
- Shared threads: team collaboration.
Pros
- Agents continue after you disconnect.
- Free tier with all features.
- Use existing ChatGPT or Claude plans.
Cons
- Separate compute and model budgets.
- Not for regulated data.
- Remote execution sends code off your machine.
Pricing
- Hobby: $0 with pay-as-you-go hosted Orbs.
- Individual: $20/month with 45,000 Orb minutes.
- Teams: no extra charge for the workspace.
- Enterprise: custom.
Bottom line
Amp is the best option for long-running agents that keep working when you log off. See the full Amp review.
How to choose the right terminal agent
Start with your model and subscription situation:
- You want the strongest agent and will pay for it: Claude Code.
- You already pay for ChatGPT or Copilot: Codex CLI or Copilot CLI cost nothing extra.
- You build on Google Cloud: Gemini CLI with Vertex AI or Code Assist.
- You want open source and any model: OpenCode for features, Aider for a Git-first workflow, Goose for broader automation.
- You want a new terminal app: Warp.
- You need team delegation or remote execution: Factory Droid or Amp.
Start every agent in its most restrictive approval mode, use a branch or worktree, and read the diff before merging. Loosen permissions only for tasks and repositories you trust.
FAQs
What is the best AI coding agent for the terminal?
Claude Code is the strongest all-round terminal agent, with repository-wide edits, Git workflows, subagents and deep customization through CLAUDE.md, hooks and MCP. Codex CLI and Copilot CLI are strong alternatives if you already pay for ChatGPT or GitHub Copilot.
Is there a free AI terminal agent?
Yes. OpenCode, Aider, Goose and the Gemini CLI client are free and open source. You still pay for model usage, unless you use OpenCode's free models, the Gemini API free tier or local models through Ollama. Copilot CLI is included in Copilot Free with limited usage.
Claude Code or Codex CLI: which is better?
Claude Code offers deeper customization and strong performance on long, multi-file tasks, starting with Claude Pro at $20 a month. Codex CLI has an open-source client, strong sandboxing and comes with ChatGPT Plus at the same price. Many developers choose based on which subscription they already have.
Can terminal agents run in CI?
Most can. Claude Code supports GitHub Actions and GitLab CI/CD, Codex CLI and Gemini CLI offer headless modes with JSON output, Factory Droid has droid exec, and Aider can be scripted from the command line or Python. Use tightly scoped permissions in CI.
Are AI terminal agents safe to use?
They are as safe as the permissions you grant. Agents can edit files and run commands, so use approval modes, sandboxes, branches and worktrees, and review every diff. Avoid auto-approve on repositories with secrets or production access.