AI
Unified framework for building enterprise RAG pipelines with small, specialized models
LatAI – A latency benchmarking tool for evaluating multiple generative AI providers and models 🌎.
MCP Server for kubernetes management commands
Build autonomous, resilient and observable AI agents with built-in workflow orchestration, security, statefulness and telemetry.
The TypeScript framework for agents & workflows with react-like components. Lightning fast dev loop. Easy to learn. Easy to extend.
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI
Build production-ready AI agents in both Python and Typescript.
5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.
Colivara is a suite of services that allows you to store, search, and retrieve documents based on their visual embedding. ColiVara has state of the art retrieval performance on both text and visual…
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports…
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…
Technical documentation for ClabCraw, covering backend architecture
The simplest, fastest repository for training/finetuning medium-sized GPTs.
⏩ Ship faster with Continuous AI. Open-source CLI that can be used in TUI mode as a coding agent or Headless mode to run background agents
Daydreams is a set of tools for building agents for commerce
A framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.
Build effective agents using Model Context Protocol and simple workflow patterns
Semantic Kernel for Java. Integrate cutting-edge LLM technology quickly and easily into your Java based apps. See https://aka.ms/semantic-kernel.
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
Open-source search and retrieval database for AI applications.
🦜🔗 Build context-aware reasoning applications
Framework to build resilient language agents as graphs.
End-to-end realtime stack for connecting humans and AI
Build realtime multimodal AI agents with Node.js