GitRiver

What it does

Everything for development in a single Rust binary. Git hosting (HTTP + SSH), CI/CD with built-in executor, OCI Container Registry, Package Registry (npm, PyPI, Cargo, Maven, NuGet), Issues, Pull Requests, Wiki, GitOps Deploy with canary/blue-green strategies. OAuth, LDAP, SAML, 2FA included. Runs at ~100 MB RAM idle vs 4+ GB for GitLab. Just add PostgreSQL and you're ready.

• 
  GitLab2015 · ▲226

  Open source alternative to GitHub

• OA
  OneDev – A Lightweight GitLab Alternative2020 · github.com · ▲459
• GA
  Gitdot – A better GitHub. Open-source, written in RustJun 2026 · gitdot.io · ▲334

  What works now: user signups, org creations, private/public repos, and importing GitHub repositories (both as read-only mirrors and full migrations). So basically, you can create, push and pull to a repo, but we don't have many features quite yet (issues, PRs, CI). What is a bit unique is: 1) we built it in Rust and 2) the website is a little odd. Its design is inspired by CLIs (e.g., fzf, broot, vim) instead of web apps, and as such, lacks some affordances that you might typically expect in favor of keyboard-driven instant navigations (we have the very ambitious goal of an FCP of…

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  GitlabRunner2020 · ▲88

  Speed up your CI/CD pipeline

• LA
  LocalGPT – A local-first AI assistant in Rust with persistent memoryFeb 2026 · github.com · ▲331

  I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…

• WS
  We scaled Git to support 1 TB repos2022 · xethub.com · ▲279

  I’ve been in the MLOps space for ~10 years, and data is still the hardest unsolved open problem. Code is versioned using Git, data is stored somewhere else, and context often lives in a 3rd location like Slack or GDocs. This is why we built XetHub, a platform that enables teams to treat data like code, using Git. Unlike Git LFS, we don’t just store the files. We use content-defined chunking and Merkle Trees to dedupe against everything in history. This allows small changes in large files to be stored compactly. Read more here:…

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