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crmne/ruby_llm

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

Mixed

Single-maintainer risk — review before adopting

MixedDependency

top contributor handles 94% of recent commits; dependency CVE scan unavailable

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

Scorecard "Branch-Protection" is 0/10; dependency CVE scan unavailable

  • ⚠Single-maintainer risk — top contributor 94% of recent commits
  • ⚠Scorecard: default branch unprotected (0/10)
  • ✓Last commit today
  • ✓6 active contributors
  • ✓MIT licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: crmne/ruby_llm

Generated by RepoPilot · document generated 2026-09-15 · concise human review Evidence snapshot · analyzed 2026-09-15T01:35:04.573Z · commit 9b30f939fe96

Verdict

Mixed — Single-maintainer risk — review before adopting

  • Last commit today
  • 6 active contributors
  • MIT licensed
  • CI configured
  • 1 more receipt on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

What it is

RubyLLM is a unified Ruby framework for building AI applications that abstracts over multiple LLM providers (OpenAI, Anthropic, Google, xAI, AWS, local models, and OpenAI-compatible APIs). It provides a single consistent interface for chats, agents, tool calling, RAG, multimodal file analysis, image generation, and video generation—eliminating the need to learn different APIs for each provider. Monolithic gem structure: core abstractions live in lib/ with provider adapters composing LLM client libraries. Generator-driven scaffold system under lib/generators/ruby_llm/ produces Rails-ready components: agent/ scaffolds autonomous agents, chat_ui/ generates a full chat interface with…

Start here

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone the repository: git clone https://github.com/crmne/ruby_llm.git && cd ruby_llm. Install dependencies with bundle install (Gemfile is the package manager; exact contents not shown in provided data—verify in rep…

Daily commands:

Setup procedure not explicitly documented in provided data. Inferred: bundle install to install gem dependencies. For generator-based scaffolding (the main dev path): within a Rails app, run `rails generate ruby_llm:a…

…shortened for this brief.

Key cautions & unknowns

  • Single-maintainer risk — top contributor 94% of recent commits
  • Scorecard: default branch unprotected (0/10)
  • Generator directory selection: The dual templates (both templates/views/ and templates/tailwind/views/) suggest the generator must have a CSS framework flag or conditional logic—verify the generator class for…
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

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