--- title: "rig vs rtk" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xplaygrounds-rig-vs-rtk-ai-rtk" tools: ["0xplaygrounds-rig", "rtk-ai-rtk"] --- # rig vs rtk *GraphCanon updated Aug 20, 2026* ## Verdict Pick rig if rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities; pick rtk if rtk is a Rust-based CLI tool aimed at reducing LLM token consumption for common development commands. [rig](https://rig.rs) reports 8.3k GitHub stars, 937 forks, and 113 open issues, last pushed Aug 20, 2026. [rtk](https://www.rtk-ai.app) has 76k stars, 4.8k forks, and 2.0k open issues, last pushed Aug 15, 2026. Figures are from public GitHub metadata via [rig's repository](https://github.com/0xPlaygrounds/rig) and [rtk's repository](https://github.com/rtk-ai/rtk). | | [rig](/tools/0xplaygrounds-rig.md) | [rtk](/tools/rtk-ai-rtk.md) | | --- | --- | --- | | Tagline | Build modular and scalable LLM Applications in Rust | CLI proxy reducing LLM token consumption by 60-90% on common dev commands | | Stars | 8,328 | 76,247 | | Forks | 937 | 4,795 | | Open issues | 113 | 1,973 | | Language | Rust | Rust | | Adopt for | Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities. | rtk is a Rust-based CLI tool aimed at reducing LLM token consumption for common development commands. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [rig](/tools/0xplaygrounds-rig.md) | [rtk](/tools/rtk-ai-rtk.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 113 | 2.0k | | Stars delta | +333 (30d) | +4.9k (30d) | | Open issues delta | +17 (30d) | +358 (30d) | | Full report | [trust report](/tools/0xplaygrounds-rig/trust.md) | [trust report](/tools/rtk-ai-rtk/trust.md) | ## Decision facts: rig - **Hosting:** self hosted - Self-hosted as a Rust library. - **Pricing:** freemium - Free to use under MIT license with potential premium support options. - **Adopt for:** Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities. - **License detail:** MIT ## Decision facts: rtk - **Pricing:** freemium - rtk is available under the Apache-2.0 license and is free for use in open-source projects. - **Adopt for:** rtk is a Rust-based CLI tool aimed at reducing LLM token consumption for common development commands. ## Choose when ### Choose rig if… - License: rig is MIT, rtk is Apache-2.0. - Self-hosted as a Rust library. - Pricing: Free to use under MIT license with potential premium support options.. - Tags unique to rig: agent, ai, artificial-intelligence, automation. - Also covers AI Agents, LLM Frameworks. - You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility. ### Choose rtk if… - License: rtk is Apache-2.0, rig is MIT. - Pricing: rtk is available under the Apache-2.0 license and is free for use in open-source projects.. - Tags unique to rtk: agentic-coding, ai-coding, anthropic, claude-code. - Also covers Developer Tools. - - Use rtk when you want to significantly reduce the tokens consumed by your language models during typical dev tasks, potentially lowering costs by up to 90%. ## When NOT to use rig - Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment. - Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates. ## When NOT to use rtk - - Avoid using rtk if your workflow requires extensive command customization that would conflict with the tool’s predefined optimizations. - - Do not use rtk for development tasks outside of common dev commands where significant token reductions might not impact efficiency or costs as much. For more specialized or unique commands, other L1 ## Common questions ### What is the difference between rig and rtk? rig: Build modular and scalable LLM Applications in Rust. rtk: CLI proxy reducing LLM token consumption by 60-90% on common dev commands. See the comparison table for live GitHub stats and shared categories. ### When should I choose rig over rtk? Choose rig over rtk when License: rig is MIT, rtk is Apache-2.0; Self-hosted as a Rust library; Pricing: Free to use under MIT license with potential premium support options.; Tags unique to rig: agent, ai, artificial-intelligence, automation; Also covers AI Agents, LLM Frameworks; You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility. ### When should I choose rtk over rig? Choose rtk over rig when License: rtk is Apache-2.0, rig is MIT; Pricing: rtk is available under the Apache-2.0 license and is free for use in open-source projects.; Tags unique to rtk: agentic-coding, ai-coding, anthropic, claude-code; Also covers Developer Tools; - Use rtk when you want to significantly reduce the tokens consumed by your language models during typical dev tasks, potentially lowering costs by up to 90%. ### When should I avoid rig? Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment. Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates. ### When should I avoid rtk? - Avoid using rtk if your workflow requires extensive command customization that would conflict with the tool’s predefined optimizations. - Do not use rtk for development tasks outside of common dev commands where significant token reductions might not impact efficiency or costs as much. For more specialized or unique commands, other L1 ### Is rig or rtk more popular on GitHub? rtk has more GitHub stars (76,247 vs 8,328). Stars measure visibility, not whether either tool fits your constraints. ### Are rig and rtk open source? Yes - both are open-source projects on GitHub (rig: MIT, rtk: Apache-2.0). ### Where can I find alternatives to rig or rtk? GraphCanon lists graph-backed alternatives at [rig alternatives](/tools/0xplaygrounds-rig/alternatives) and [rtk alternatives](/tools/rtk-ai-rtk/alternatives) ([rig markdown twin](/tools/0xplaygrounds-rig/alternatives.md), [rtk markdown twin](/tools/rtk-ai-rtk/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/0xplaygrounds-rig-vs-rtk-ai-rtk.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, rig or rtk? rig: Very active. rtk: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for rig and rtk? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [rig trust report](/tools/0xplaygrounds-rig/trust); [rtk trust report](/tools/rtk-ai-rtk/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=0xplaygrounds-rig`](/api/graphcanon/graph?tool=0xplaygrounds-rig) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_