Best local-first, private AI coding tools
AI development tools that keep your code and inference on your own machine — for privacy-sensitive and regulated teams.
For regulated or security-conscious teams, sending code and prompts to third-party clouds is often a non-starter. Local-first tools keep source code, prompts, and sometimes inference on your own machine. Here is what to evaluate and where PromptConnext stands.
What 'local-first' should mean
Local inference: the ability to run models on your machine (via Ollama or vLLM) so prompts and code never leave your boundary.
Local data: your source code and credentials stay on the device; keys live in the OS keychain rather than a vendor cloud.
Optional sync: any collaboration should move only what you choose — ideally metadata, never your source code.
Where PromptConnext fits
PromptConnext is local-first by design: connect local models, keep code and keys on the machine, and work fully offline. When you collaborate, only the shared task graph syncs — never your code. That makes it suitable for teams that cannot use cloud-only assistants.
FAQ
- Can I use a local model and still collaborate?
- Yes. Inference stays local, and collaboration syncs only the task graph (requirements, specs, tasks, and agent-run records) — not your source code.
Start building with the AI you already have
Download PromptConnext, connect a model in minutes — including a zero-cost local option — and take your first project from scope to running code.