Clixad
Freemium
Developers who prefer terminal workflows
Most coding agents give you advice. They suggest the fix, sketch the diff, explain the approach — then hand it back to you to actually run it. Collie runs it, checks it passed, and only tells you it's done when it is.
Collie is a local, open-source coding agent that operates directly on your machine — your file system, your signed-in browser session, your real terminal. The core loop is: you describe the task in plain language, Collie does the actual work, then writes a verification step and runs it before declaring the job complete. That proof-first model is what separates it from a chat assistant. It installs as a desktop app on Windows and macOS, or via a single pip command on Linux. No telemetry, no cloud relay — your files and credentials stay local.
Bottom line: Pick Collie when you need a local agent that can hit your real browser session and verify its own fixes — but if your work requires calling external APIs, triggering webhooks, or integrating with CI pipelines, you will be wiring those connections yourself.
Find your fit
More options in CLI Coding Agents. Compare pricing, platforms, and features side by side.
Freemium
Developers who prefer terminal workflows
Freemium
Developers preferring fully local agent execution
Most coding agents give you advice. They suggest the fix, sketch the diff, explain the approach — then hand it back to you to actually run it. Collie runs it, checks it passed, and only tells you it’s done when it is.
Collie is a local, open-source coding agent that operates directly on your machine — your file system, your signed-in browser session, your real terminal. You describe the task in plain language, Collie does the actual work, then writes a verification step and runs it before declaring the job complete. It installs as a desktop app on Windows and macOS, or via a single pip command on Linux. No telemetry, no cloud relay — your files and credentials stay local.
Use cases include fixing bugs and verifying fixes by running reproduction tests, automating browser-based tasks while signed into accounts, organizing files and summarizing documents on the local machine, and setting up or migrating projects and running setup commands.
It runs against your real browser session and signed-in accounts, writes and runs a verification step before calling a task complete, and keeps source code and session credentials on your machine. No API surface exists, so it cannot be triggered from a script or CI job. Linux installation requires Python 3.12 or later.
Best for developers needing local AI assistance with real environment access, users wanting private no-telemetry task automation, and workflows that require browser control and file system changes. Teams that must embed AI task execution inside automated pipelines or run on managed Linux with locked Python versions should skip it.
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