0xPlaygrounds/rig
⚙️🦀 Build modular and scalable LLM Applications in Rust
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
📑 Docs • 🌐 Website • 🤝 Contribute • ✍🏽 Blogs • Rig is a Rust library for building LLM applications, and rig, a terminal coding agent built on it that you extend with Bevy plugins. In the agent, /login signs in with a ChatGPT plan or saves a provider's API key, or export the key (such as OPENAIAPIKEY) before starting. /model picks the model and /help lists the commands. rig -p "fix the failing test" answers one prompt without the terminal view. tools, commands, sessions, sign-in and terminal view are each a plugin listed in plugins.toml, so any of them can be removed, replaced or added to. changes and restarts it in the same session, and keeps the old build running if the new one does not compile. rig help-agents is the protocol. changed are optional plugins, and the tools work on…
Read the full README ↗ · Preview checked 2026-10-27T21:24:47.895Z
Inside the original README — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
⚙️🦀 Build modular and scalable LLM Applications in Rust
Repository facts
- Owner
- 0xPlaygrounds
- Primary language
- Rust
- Stars
- 9,029
- Forks
- 1,004
- Open issues + pull requests
- 96
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2024-06-05T13:42:28.000Z
- Last push
- 2026-10-31T07:24:18.000Z
Topics and intended use
Owner-supplied topics: agent, ai, artificial-intelligence, automation, generative-ai, large-language-model, llm, llmops, rust, scalable-ai
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T13:20:02.570Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.