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Continue is an open source Copilot alternative for VS Code and JetBrains that connects to any LLM — cloud or local — for inline completions, chat, and codebase-aware edits. Apache 2.0.
It is a free, open-source video conferencing solution for web and mobile, offering secure, flexible, and feature-rich communication capabilities.
Void is an open source AI code editor built on VS Code that routes AI requests directly to your chosen LLM provider, keeping code off third-party servers. A privacy-first alternative to Cursor.
Jan is an open source local AI chat app that runs LLMs entirely on your hardware: no internet connection, no cloud API, no data sent off-device. AGPL-3.0.
Simple end-to-end testing for Mobile and Web apps, offering a visual IDE, AI assistance, and cloud infrastructure for scalable testing.
Infrastructure as Code platform that lets engineers deliver cloud infrastructure faster, using any programming language and AI.
Continue is the open source Copilot alternative for VS Code and JetBrains that lets developers bring any LLM into their IDE — Anthropic, OpenAI, Ollama, Gemini, or any custom endpoint — for inline completions, chat, and targeted code edits without a per-seat subscription.
GitHub Copilot is a single-provider, subscription-only product. Your completions go through GitHub's servers, you cannot swap the underlying model, and the monthly cost per seat adds up fast for large teams. Cursor takes a similar approach: powerful, but closed and cloud-only. Neither lets you run inference on your own infrastructure or control which model touches your proprietary code.
Continue installs as an IDE extension and uses a YAML config file where you declare which models handle which tasks — one model for autocomplete, another for chat, a third for edit mode. Add context providers (GitHub PRs, documentation sites, your local codebase index) so the assistant answers with full project awareness. Every request goes directly from your IDE to the endpoint you configure — no proxy, no telemetry by default.
Continue is best for teams standardizing on a single AI coding setup across multiple IDEs, developers who want offline completions via local models, and organizations that cannot send source code to third-party cloud providers.
Unlike GitHub Copilot, Continue is fully open source and model-agnostic — you configure any LLM, run it on local infrastructure if needed, and share the same YAML configuration across your entire team without per-seat licensing costs.
