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Open-source coding agent
Tabby ist ein Open-Source-Projekt aus der Kategorie Entwickler-Tools von TabbyML (TabbyML/tabby auf GitHub). Es hat 33.890 Sterne auf GitHub und 1.793 Forks, wird unter der Lizenz Custom (check repo) veröffentlicht und wurde zuletzt am 30. Juni 2026 auf GitHub aktualisiert.
Self-hosted AI coding assistant
Editor extensions, terminal commands, or standalone apps — most install in under a minute.
Use a hosted frontier API, or keep everything local with an open model backend.
The tool indexes your codebase so suggestions and edits are project-aware.
Ask for features, let it edit files, run tests, and review diffs before you accept.
Not just autocomplete — plans, edits multiple files, and runs commands.
Indexes your repo so answers respect your actual code, not guesses.
Lives where you work: VS Code, JetBrains, Neovim, or the plain terminal.
Swap between frontier APIs and local models per task.
Every change is a reviewable diff — you stay in control.
Customize prompts, tools, and behavior; no black box.
Clone the repository or download the latest release for your OS.
git clone https://github.com/TabbyML/tabby.gitEvery project documents its own setup — the README's install section is the source of truth.
Start the app or server as documented and open the interface it provides.
It multiplies them — the best results come from developers directing, reviewing, and owning the design.
Cloud frontier models code best today; local models keep everything private and free.
It is an open-source project at TabbyML/tabby with 1,793 forks. Check the repo's contributors and recent commits to see how active maintenance is.
With local models, no. With APIs, check the provider — many offer zero-retention modes.
Coverage varies: VS Code and terminal are universal; check each tool for JetBrains/Neovim.
The tools are open-source; model usage may cost if you use paid APIs.
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Die anderen Projekte der Kategorie Entwickler-Tools mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Tabby nicht das Richtige ist.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.