ML Application · Rust

motorhead-main

Petr Sovadina@petrsovadina · Atlas 68.5 · #6 builder

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What it is

Motorhead is a Rust-based HTTP server that provides session memory and retrieval for LLM applications, using Redis for storage and OpenAI for summarization and embeddings. It includes examples in JavaScript and Python demonstrating integration with LangChain.

Scored from the code at its last scan, 23 Oct 2026. How merit is scored

Where it counts

NLP & LLMs90%
Machine Learning85%
MLOps30%
Data Science10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the NLP & LLMs board

Whole board

RankProjectBuilderFieldMerit

35promptlintAI Developer Tool · Pythonpromptlint is a static analysis linter for LLM prompts that detects common anti-patterns such as prompt injection risks, missing token limits, and hardcoded secrets.53.6/100ImplementationPop AlexandruNLP & LLMs
36llm-trainerML Application · JavaScriptllm-trainer is a full-stack application that provides a graphical interface for browsing Hugging Face datasets and fine-tuning local LLMs. It consists of a React frontend, an Express backend with WebSocket support, and a Python training worker that uses the Hugging Face…53.0/100ImplementationMaster MindNLP & LLMs
37motorhead-mainML Application · Rust52.9/100ImplementationPetr SovadinaNLP & LLMs
38motorheadAI Developer Tool · RustMotorhead is a memory and information retrieval server for LLMs that provides APIs for managing conversation history and performing vector-based retrieval, built in Rust with Redis and OpenAI API integration.52.6/100ImplementationPetr SovadinaNLP & LLMs
39dialoqbase-serverML Application · TypeScriptDialoqbase-server is an open-source TypeScript application that enables users to create custom chatbots with a personalized knowledge base, leveraging LLMs, PostgreSQL vector search, and a React-based UI. It provides data loaders, integrations (Telegram, Discord), and…51.6/100ImplementationPetr SovadinaNLP & LLMs

What it is

Where it counts

Around it on the NLP & LLMs board

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