Watchfire vs Continue.dev.
Continue is an open-source IDE assistant — VS Code and JetBrains extensions with chat, autocomplete, edit, and agent modes, configured through a YAML file and any LLM provider you bring.
The verdict
Pick Continue when you want a customisable, model-agnostic IDE assistant that fits into your existing editor workflow. Pick Watchfire when the work is task-shaped, should run outside any editor, and benefits from worktree isolation and parallel projects.
At a glance.
The axes that actually differ between the two tools. The prose below this table is where the nuance lives — don’t pick a tool from a row alone.
| Axis | Continue.dev | Watchfire |
|---|---|---|
| Agent backend | Continue is itself an assistant — speaks any model provider via its config (Anthropic, OpenAI, Ollama, vLLM, local models, …). | Pluggable: Claude Code, OpenAI Codex, opencode, Gemini CLI, GitHub Copilot CLI, or Cursor Agent CLI. |
| Isolation | Runs inside the IDE; edits go to your working tree. | Per-task git worktree on a dedicated watchfire/<n> branch. |
| Sandbox | No OS-level sandbox; agent-mode tool calls are approved per use. | Seatbelt on macOS, Landlock or Bubblewrap on Linux; sensitive paths blocked by default. |
| Parallelism | One Continue session per IDE window. | One agent per project, many projects concurrently from a single daemon. |
| Git workflow | Edits the working tree; you stage and commit yourself. | Reviewable branch per task; auto-merge is opt-in. |
| Autonomy | Chat-first with an agent mode that uses tools step-by-step. | Interactive or autonomous via Wildfire mode. |
| Local vs cloud | Local extension; runs fully offline when paired with Ollama or any local model. | Local — nothing leaves your machine unless you ship it. |
| Multi-project | Per IDE workspace. | First-class — many projects active concurrently. |
| Open source | Apache-2.0. | Apache-2.0. |
| Pricing | Free; you pay your model provider (or run locally for free). | Free; you pay whatever your agent CLI's model costs. |
Agent backend
Continue.dev
Continue is itself an assistant — speaks any model provider via its config (Anthropic, OpenAI, Ollama, vLLM, local models, …).
Watchfire
Pluggable: Claude Code, OpenAI Codex, opencode, Gemini CLI, GitHub Copilot CLI, or Cursor Agent CLI.
Isolation
Continue.dev
Runs inside the IDE; edits go to your working tree.
Watchfire
Per-task git worktree on a dedicated
watchfire/<n>branch.Sandbox
Continue.dev
No OS-level sandbox; agent-mode tool calls are approved per use.
Watchfire
Seatbelt on macOS, Landlock or Bubblewrap on Linux; sensitive paths blocked by default.
Parallelism
Continue.dev
One Continue session per IDE window.
Watchfire
One agent per project, many projects concurrently from a single daemon.
Git workflow
Continue.dev
Edits the working tree; you stage and commit yourself.
Watchfire
Reviewable branch per task; auto-merge is opt-in.
Autonomy
Continue.dev
Chat-first with an agent mode that uses tools step-by-step.
Watchfire
Interactive or autonomous via Wildfire mode.
Local vs cloud
Continue.dev
Local extension; runs fully offline when paired with Ollama or any local model.
Watchfire
Local — nothing leaves your machine unless you ship it.
Multi-project
Continue.dev
Per IDE workspace.
Watchfire
First-class — many projects active concurrently.
Open source
Continue.dev
Apache-2.0.
Watchfire
Apache-2.0.
Pricing
Continue.dev
Free; you pay your model provider (or run locally for free).
Watchfire
Free; you pay whatever your agent CLI's model costs.
When to pick Continue.dev.
Pick Continue when your workflow is editor-centric and you want a fully open, deeply configurable assistant that follows you between projects. Its YAML-driven configuration is genuinely powerful — model routes, context providers, custom slash commands, and tool definitions are all declarative and version-controllable. Continue also has the strongest local-model story in this category: pair it with Ollama or vLLM and the entire loop runs offline with no API key in sight. If you want chat, autocomplete, edit, and agent all in the same IDE surface, with the freedom to swap models per task without paying a subscription, Continue is the right tool.
When to pick Watchfire.
Pick Watchfire when the work is task-shaped — a written prompt, acceptance criteria, and a result you want to review later — and you want to keep it out of any single editor's process. Watchfire wraps your chosen agent CLI in a per-task worktree on a watchfire/<n> branch under a platform sandbox, so a half-done run never lands on main and the agent cannot read ~/.ssh. It also coordinates many projects from one daemon, with an autonomous Wildfire loop you can opt into for queues that run while you do something else.
Can they coexist?
Yes — they target different surfaces. Continue lives in the IDE for in-editor work; Watchfire lives in the terminal for task-shaped work. Many users keep Continue installed for autocomplete and conversational edits while using Watchfire for the longer, isolated tasks that benefit from a separate worktree. Their working directories do not overlap — Continue writes to your working tree, Watchfire writes inside .watchfire/worktrees/<n>/ — so they only need to coordinate when an auto-merged Watchfire branch lands on a file you have open in the IDE.
Related reading.
- Supported agentsThe agent CLIs Watchfire can drive on your behalf.
- Worktree isolationWhy each task runs on its own branch.
- Agent modesChat, Task, Start All, Wildfire — when to use which.
- See the full comparison matrixEvery adjacent tool, side by side.
- Start with a ready taskCopy-paste starter task YAMLs for the most common work.
Get started with Watchfire
Install in seconds. Define tasks. Let agents ship code for you.
Download for macOSAvailable for macOS, Linux, and Windows
# Install via Homebrew (macOS)brew tap watchfire-io/tapbrew install --cask watchfire-io/tap/watchfire# Set up your project and gowatchfire initwatchfire task add "Build the login page"watchfire start --allIncludes GUI, CLI, and daemon. Also available via Homebrew.