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Poolside supports several ways to work with agentic coding models. Choose a path based on where you want to work, then follow the guide for that surface. Some paths run Poolside’s agent directly, such as Poolside Agent CLI and ACP-compatible editors. Other paths use a third-party tool that calls Poolside models through the providers each tool supports.

Where to use Poolside

Choose a path

Work from the terminal

Use Poolside Agent CLI for interactive, multi-turn terminal sessions or one-shot automation with pool exec.

Work with Poolside from the terminal

Use pool for interactive, multi-turn sessions.

Automate tasks

Use pool exec for scripts, CI jobs, and one-shot tasks.

Work in an editor

Use Editors to choose between Poolside Assistant, ACP-compatible editors, and editor extensions that can call Poolside models.

JetBrains

Use Poolside in JetBrains.

Neovim with CodeCompanion

Use Poolside in Neovim with CodeCompanion.

Zed

Use Poolside in Zed.

Other ACP-compatible editor

Use Poolside in another ACP-compatible editor.
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Poolside Assistant for VS Code

Use Poolside Assistant inside VS Code.
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Poolside Assistant for Visual Studio

Use Poolside Assistant inside Visual Studio on Windows.

Cline

Use Poolside models in Cline.

GitHub Copilot

Use Poolside models in GitHub Copilot.

Kilo Code

Use Poolside models in Kilo Code.

Use a desktop app

Use desktop apps when you want a dedicated app experience outside your editor.
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Poolside Assistant for desktop

Use the Poolside Assistant desktop app.

Goose

Use Poolside models in Goose.

Use an agent tool

Use agent tools when you want another coding agent to call Poolside models.

Hermes

Use Poolside models in Hermes.

OpenCode

Use Poolside models in OpenCode.

Build applications

Use the Poolside API when you want to call Poolside models from your own application, internal tool, script, or service. Poolside provides an OpenAI-compatible API, so you can call it directly or use the OpenAI SDK with the Poolside base URL and API key.

Poolside API

Find your base URL and API key, then make your first request.

OpenAI-compatible API examples

See endpoint reference, extra context, and tool use.
After you choose where to work, see Configure to shape agent behavior and control what it can do.