by libra-tools · Agent Tool · ★ 81
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Libra is a partial implementation of a Git client, developed in Rust. The goal is not to build a perfect, 100% feature-complete reimplementation of Git (if you want that, take a look at gitoxide). Instead, Libra is evolving into an AI agent–native version control system. The command starts an interactive TUI (with a background web server and an MCP stdio surface) that is designed to be driven collaboratively by AI agents and humans. Libra also ships AI-native subcommands not found in Git: , , , , , , and . AI Features The AI surface is what makes Libra different from a vanilla Git client. The sections below cover where AI data lives, how to drive the AI runtime (), which providers are supported, and the Libra-only subcommands that orchestrate the agent. AI Data Storage Libra persists AI threads, runs, tasks, decisions, validation reports, tool-invocation events, patchset snapshots, automation history, captured external-agent sessions, and the live context window into the same repository storage directory that holds Git objects. Everything an AI agent does inside a Libra repository is durable, queryable, and replayable — no out-of-band state.
| Stars | 81 |
| Forks | 163 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.6053550354724/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-09 |
| Created | 2025-09-12 |
| Platforms | rust |
| Est. Tokens | ~30k |
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libra is Libra is evolving into an AI agent–native version control tools. It is categorized as a Agent Tool with 81 GitHub stars.
libra is primarily written in Rust. It covers topics such as git, jj, pijul.
You can find installation instructions and usage details in the libra GitHub repository at github.com/libra-tools/libra. The project has 81 stars and 163 forks, indicating an active community.
libra is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to libra on Agent Skills Hub include libra, zagi, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.