--- title: "rig vs langchain-rust" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xplaygrounds-rig-vs-abraxas-365-langchain-rust" tools: ["0xplaygrounds-rig", "abraxas-365-langchain-rust"] --- # rig vs langchain-rust *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 langchain-rust if langChain for Rust offers an easier way to integrate LLM-based programming in Rust, focusing on compatibility with OpenAI models and a structured approach via chains. [rig](https://rig.rs) reports 8.3k GitHub stars, 937 forks, and 113 open issues, last pushed Aug 20, 2026. [langchain-rust](https://github.com/Abraxas-365/langchain-rust) has 1.3k stars, 176 forks, and 81 open issues, last pushed Aug 6, 2026. Figures are from public GitHub metadata via [rig's repository](https://github.com/0xPlaygrounds/rig) and [langchain-rust's repository](https://github.com/Abraxas-365/langchain-rust). | | [rig](/tools/0xplaygrounds-rig.md) | [langchain-rust](/tools/abraxas-365-langchain-rust.md) | | --- | --- | --- | | Tagline | Build modular and scalable LLM Applications in Rust | LangChain for Rust | | Stars | 8,328 | 1,339 | | Forks | 937 | 176 | | Open issues | 113 | 81 | | 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. | LangChain for Rust offers an easier way to integrate LLM-based programming in Rust, focusing on compatibility with OpenAI models and a structured approach via chains. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [rig](/tools/0xplaygrounds-rig.md) | [langchain-rust](/tools/abraxas-365-langchain-rust.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 113 | 81 | | Stars delta | +333 (30d) | Unknown | | Open issues delta | +17 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/0xplaygrounds-rig/trust.md) | [trust report](/tools/abraxas-365-langchain-rust/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: langchain-rust - **Adopt for:** LangChain for Rust offers an easier way to integrate LLM-based programming in Rust, focusing on compatibility with OpenAI models and a structured approach via chains. ## Choose when ### Choose rig if… - 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. - You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility. ### Choose langchain-rust if… - Tags unique to langchain-rust: langchain, openai, rust. - You are working within the Rust ecosystem and seek integration of language modeling capabilities through simple chain configurations. - Leaner open-issue backlog (81). ## 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 langchain-rust - If your primary development is in a language that does not align with Rust's performance characteristics or syntactic advantages. - When you do not require specific configurations through chains or structured prompts, as LangChain-Rust places emphasis on these aspects. ## Common questions ### What is the difference between rig and langchain-rust? rig: Build modular and scalable LLM Applications in Rust. langchain-rust: LangChain for Rust. See the comparison table for live GitHub stats and shared categories. ### When should I choose rig over langchain-rust? Choose rig over langchain-rust when 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; 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 langchain-rust over rig? Choose langchain-rust over rig when Tags unique to langchain-rust: langchain, openai, rust; You are working within the Rust ecosystem and seek integration of language modeling capabilities through simple chain configurations; Leaner open-issue backlog (81). ### 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 langchain-rust? If your primary development is in a language that does not align with Rust's performance characteristics or syntactic advantages. When you do not require specific configurations through chains or structured prompts, as LangChain-Rust places emphasis on these aspects. ### Is rig or langchain-rust more popular on GitHub? rig has more GitHub stars (8,328 vs 1,339). Stars measure visibility, not whether either tool fits your constraints. ### Are rig and langchain-rust open source? Yes - both are open-source projects on GitHub (rig: MIT, langchain-rust: MIT). ### Where can I find alternatives to rig or langchain-rust? GraphCanon lists graph-backed alternatives at [rig alternatives](/tools/0xplaygrounds-rig/alternatives) and [langchain-rust alternatives](/tools/abraxas-365-langchain-rust/alternatives) ([rig markdown twin](/tools/0xplaygrounds-rig/alternatives.md), [langchain-rust markdown twin](/tools/abraxas-365-langchain-rust/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-abraxas-365-langchain-rust.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, rig or langchain-rust? rig: Very active. langchain-rust: 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 langchain-rust? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [rig trust report](/tools/0xplaygrounds-rig/trust); [langchain-rust trust report](/tools/abraxas-365-langchain-rust/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/_