Fetch latest LLM models from OpenRouter and models.dev APIs
Information on LLM models, context window token limit, output token limit, pricing and more
Framework abstraction to interact with LLM models
100+ LLM models. Pricing, capabilities, context windows. Always current.
Intelligent CLI tool with AI-powered model selection that analyzes your hardware and recommends optimal LLM models for your system
LLM models for tune, from openai, anthropic, openrouter etc
One interface to hundreds of LLM models, zero dependencies, tons of features, for Browser and Node.js
Benchmarking different LLM models for PRSense
ggui protocol types — events, renders, WebSocket, MCP, LLM models
Token counting and estimation utilities for multiple LLM models
Find the fastest coding LLM models in seconds — ping free models from multiple providers, pick the best one for OpenCode, Cursor, or any AI coding assistant.
n8n community node for AnyAPI.ai — unified AI gateway with 300+ LLM models
s-utils-llm is utils for working with LLM models
Benchmark your local LLM models — speed, quality & hardware fitness verdict
Command-line interface for the OpenModels registry — browse, search, and compare LLM models and inference providers from your terminal.
Enterprise-grade self-learning AI assistant with military-strength security, 150x faster vector search, and 12+ LLM models
A simple web application for prompt engineering and testing prompts with different LLM models.
AI Assistant Security plugin for OpenClaw, to protect your LLM models and Agent lifecycle (including tool calls) from harmful requests.
AI-powered QA agent using LLM models for automated testing and web interaction
AI Assistant Security plugin for OpenClaw, to protect your LLM models and Agent lifecycle (including tool calls) from harmful requests.
Intelligent CLI tool with AI-powered model selection that analyzes your hardware and recommends optimal LLM models for your system
AI Assistant Security plugin for OpenClaw, to protect your LLM models and Agent lifecycle (including tool calls) from harmful requests.
A library for adapting LLM models to different APIs
Manage LLM models and prompts
llm_models: Load and download LLM models, metadata, and tokenizers
Static analyzer to discover obfuscation of malicious code, with LLM review and enrichment
Automatically detects and fixes syntax errors in Mermaid diagrams within Markdown files
CLI of ML model registry for minimum MLOps
Classify PR diffs by reviewer attention: review, skim, or skip
Denoised web search MCP server — native binary, zero runtime dependencies.
MCP server for MenteDB, the cognition aware database for AI agent memory
Security static analyzer for Rust. Analyzes MIR to detect vulnerabilities. (Requires nightly)
Standardized LLM model registry for grain-agent. Embeds a vendored snapshot of model metadata (context window, capabilities, pricing, thinking profile); the `fetch` feature pulls live data from models.dev.
Auto-updated registry of LLM model capabilities (vision, audio, etc.)
RustLLM - rustllm-models component (placeholder)
Foundation-model agnostic LLM client for AWS Bedrock
Structify provides a simple DSL to integrate with Rails models for LLM extraction, including versioning, assistant prompts, and more
Store activerecord models in vector stores and query them with LLMs!
llm-shell is an extensible, developer-oriented command-line console that can interact with multiple Large Language Models (LLMs).
Security pipelines for LLM applications using ONNX models from Hugging Face Hub. Detect prompt injections, jailbreaks, and PII leaks. Models are lazily downloaded and cached locally. Fast local inference (~10-20ms after initial load).
LLM Bench is a Ruby gem that allows you to benchmark and compare the performance of different Large Language Model providers and APIs. It supports both OpenAI and Anthropic-compatible API formats, provides parallel execution, and includes continuous tracking capabilities with CSV export.
Detects whether LLM models support specific capabilities via empirical cache, OpenRouter model index, RubyLLM model registry, and provider-level heuristics. Zero runtime dependencies.
A RubyLLM plugin that enables local LLM execution using the Red Candle gem. Run quantized GGUF models directly in Ruby without external API calls. Supports streaming, structured output, and multiple model architectures including Gemma, Llama, Qwen, Mistral, and Phi.
Ruby gem for running state-of-the-art language models locally. Access LLMs, embeddings, rerankers, and NER models directly from Ruby using Rust-powered Candle with Metal/CUDA acceleration.
llm_optimizer reduces LLM API costs by up to 80% through semantic caching, intelligent model routing, token pruning, and conversation history summarization. Strictly opt-in and non-invasive.
Intelligence is a lightweight yet powerful Ruby gem that allows you to seamlessly and uniformly interact with large language and vision models (LLM) API's of numerous vendors, including OpenAI, Anthropic, Google, Cerebras, Groq, Hyperbolic, Samba Nova and Together AI. It can be trivially expanded to other OpenAI conformant API providers as well as self hosted models. Intelligence supports text models in streaming and non-streaming mode, vision models, and tool use. Intelligence has minimal dependencies and does not require the vendors ( often bloated ) SDK's.
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