Llm
Showing 36 of 203 projects
A TypeScript toolkit for building AI-powered applications and agents with React, Next.js, and Node.js support.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
A CLI and library for evaluating, red-teaming, and comparing LLM prompts, agents, and RAGs with simple declarative configs.
A Python library that enables conversational data analysis on SQL, CSV, and parquet files using LLMs and RAG.
An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows.
An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows with tracing and automated evaluations.
An open-source AI memory tool that records your screen and audio locally, enabling search and automation agents based on your computer activity.
An open-source AI memory tool that captures your screen and audio locally, enabling search and automation agents based on your computer activity.
A Python agent framework for building production-grade GenAI applications with type safety, observability, and extensibility.
Open-source AI platform for building private agents, assistants, and enterprise search with document analysis and multi-model support.
A single-file memory layer for AI agents, replacing complex RAG pipelines with serverless, instant retrieval and long-term memory.
A curated list of must-use resources for AI engineering, including books, courses, papers, frameworks, and tools.
A blazing-fast, lightweight deep learning inference engine from Alibaba, optimized for on-device LLMs and Edge AI.
A terminal-based AI coding agent that plans and executes large coding tasks across multiple files with smart context management.
A low-level tensor library for machine learning with integer quantization, automatic differentiation, and zero runtime allocations.
An open-source platform for building and deploying GPT/LLM-powered chatbots and AI assistants.
A Python library that provides reliable, validated JSON outputs from any LLM using Pydantic models.
An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows built around an embeddings database.
A curated list of open-source large language models licensed for commercial use, including models for general text and code generation.
A curated list of modern Generative AI projects, services, models, and resources across text, image, video, audio, and coding.
An open-source LLMOps platform unifying gateway, observability, evaluation, optimization, and experimentation for industrial-grade LLM applications.
An end-to-end AI agent engineering platform with an open-source TypeScript framework and a production-ready observability console.
A command-line interface tool that integrates multiple LLM providers, offering shell assistance, interactive chat, RAG, AI tools, and local server capabilities.
SDKs for adding private, on-device AI features like LLM chat, speech-to-text, and text-to-speech to mobile and web apps.
The Go implementation of LangChain, enabling developers to build LLM-powered applications through composable components.
Deep Lake is a multimodal data lake and vector store optimized for AI, enabling scalable data management, retrieval, and training for LLM and deep learning applications.
A prompting language for building reliable AI workflows and agents with type-safe, structured outputs across multiple programming languages.
A CLI tool that automatically generates git commit messages using AI by analyzing staged changes.
An LLM acceleration library for Intel XPU (GPU, NPU, CPU) to speed up local inference and finetuning of popular models.
A Rust library for building scalable, modular, and ergonomic LLM-powered applications.
A collection of libraries to optimize AI model performance through inference acceleration, infrastructure efficiency, and fine-tuning optimization.
A collection of libraries to optimize AI model performance through inference, infrastructure, and fine-tuning techniques.
A semantic cache library for LLM queries that reduces API costs by 10x and boosts response speed by 100x.
A fast, flexible, and hardware-aware LLM inference engine with zero-config support for any Hugging Face model.
A Neovim plugin that integrates LLMs and AI agents for coding assistance, chat, and inline transformations.
A declarative infographic visualization engine that generates and renders high-quality infographics from AI-friendly syntax.
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