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r-uby-dev/llm
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An agentic runtime
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r-uby-dev/llm is a Ruby tool licensed under MIT. An agentic runtime Topics: ai, llm, llm-agents, llm-framework, llm-frameworks, llms, ruby-lib, ruby-library, a2a, a2a-client, agent2agent, mcp, mcp-client, rag, ruby, ai-runtime, agent, agents.
Ranked #1869 out of 24846 indexed tools.
In the top 8% of all indexed tools.
Ecosystem
Ruby MIT
aillmllm-agentsllm-frameworkllm-frameworksllmsruby-libruby-librarya2aa2a-clientagent2agentmcpmcp-clientragrubyai-runtimeagentagents
Score Breakdown
Stars 15% 143
143 stars → growing community
Freshness 25% 29d ago
Last commit 29d ago → recently updated
Issue Health 25% 74%
31/42 issues closed → decent issue management
Contributors 10% 9
9 contributors → small team
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads N/A
Forks 11
Description Brief
License MIT
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
Dependents medium impact
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From the README
<p align="center">
<a href="https://r.uby.dev">
</a>
</p>
> [r.uby.dev](https://r.uby.dev/llm) project.
Welcome to the canonical llm.rb repository.
llm.rb is a runtime for building agentic AI applications
on CRuby. It has zero runtime dependencies by default, supports
concurrent and parallel tool execution and has a single coherent API
that spans 14+ providers.
The README covers the common cases. For everything else there is the
[deepdive](docs/deepdive.md), a reference with a chapter for each
topic, and for what changes between releases there is the
[changelog](CHANGELOG.md).
[The r.uby.dev website](https://r.uby.dev) hosts
an agentic platform that provides users with
personalized agents who can access GitHub, and
other services. It is built with llm.rb. Check it
out if curious. **Still in early development.**
## Install
llm.rb requires Ruby 3.4 or later.
```bash
gem install llm.rb
```
## Quick start
### Agents
The
[`LLM::Agent`](https://r.uby.dev/api-docs/llm.rb/LL Read full README on GitHub → Get the weekly AgentRank digest
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