An Elixir framework designed to help developers build data-aware and agentic applications by chaining LLMs with external tools, data, and services.

A lightweight Bash-based command-line interface for LLMs that allows users to query models, chat interactively, and provide terminal context via pipes and recording.

A multi-LLM consensus framework for automated cell type annotation in single-cell RNA sequencing data, reducing errors by combining predictions from multiple large language models.

A terminal-native AI coding agent optimized for DeepSeek V4 that uses advanced cache engineering to provide high-capability software engineering at a fraction of the cost of competitors.

An AI-powered app that enhances and tailors résumés using LLMs and renders them into professional PDFs via LaTeX.

An AI-powered computer automation tool that uses LLMs to self-drive a PC by simulating keyboard and mouse inputs based on visual feedback.

An enterprise-grade user frontend for the RuoYi-AI platform, enabling AI conversations, agent interactions, and knowledge-base Q&A.

An AI note-taking assistant for Joplin that enables chatting with your notes, semantic search, and automated literature reviews using online or offline LLMs.

Zypher Agent is a framework for building production-ready AI agents that use reactive reasoning loops to dynamically execute tasks within applications.

A demonstration project showing how to integrate Google's Gemini AI with the Stream Chat SDK to build an AI-powered chat application on Android.

An open-source AI-driven after-sales service platform that provides intelligent customer service and Q&A communities to reduce manual support costs.

An AI agent orchestration platform that implements a ReAct loop for autonomous task execution, featuring deep browser automation with vision support and multi-agent delegation.

A PHP library for extracting structured, validated data from LLMs and providing a unified API for multiple LLM providers.

A design layer for AI agent loops that helps users define goals, verification criteria, and review gates before execution to ensure robust and auditable workflows.

An agentic operating system for Snowflake Coco that brings structured, multi-agent workflows and governance-aware execution to data engineering projects.

A powerful RAG system that summarizes and queries diverse document types, including PDFs, audio, video, and Anki cards, providing sourced answers and detailed summaries.

A durable agent framework that makes every AI agent run replayable and resumable by default, allowing for zero-cost debugging and crash recovery using a Rust-based runtime.

A self-hosted, local-first web interface that unifies multiple LLM providers and local endpoints into a single chat UI, allowing users to manage their own API keys and costs.

A memory architecture for long-horizon LLM agents that implements Lifecycle-Aware Memory (LAM) to handle versioning, provenance, and complex retrieval in research-heavy tasks.

A lightweight LLM framework that simplifies production code integration by providing unified model access, structured Pydantic outputs, and type-safe prompt definitions.

A template-first framework for building and deploying production-ready AI agents, providing built-in tools, a chat interface, and advanced debugging capabilities.

A production-ready agent platform for task execution and automation that integrates browser workflows and delivers results via multiple IM channels.

A Retrieval-Augmented Generation framework that uses hypergraph-structured knowledge representation to better capture complex relationships between entities.

A Streamlit application backed by txtai that implements both Vector and Graph RAG to provide factually grounded LLM responses.

A full-stack RAG framework with a visual agent orchestration canvas and webhook connectors for deploying AI agents to third-party messaging platforms.

A comprehensive Python toolkit for retrieval, re-ranking, and RAG, providing a unified interface to experiment with and deploy state-of-the-art models.

A collection of LLM projects and tutorials covering RAG, agentic workflows, multimodal chatbots, and fine-tuning pipelines to move from basic to advanced AI application development.

An open-source framework for optimizing LLM agents using reinforcement learning to enhance their reasoning, tool use, and decision-making capabilities.

A WordPress plugin that integrates cloud-based and local AI services to automate content generation, image processing, and site management tasks.

An autonomous software development agent app powered by Amazon Bedrock that can create files, execute commands, and manage projects through a customizable agent interface.

An open-source SDK for building and deploying AI agents as modular, scalable services with built-in HTTP servers and dynamic agent-to-agent communication.

A Google Cloud-based solution that automates marketing content generation, trend analysis, and data querying using Vertex AI and Google Workspace integration.

A generative AI utilization platform developed by the Digital Agency of Japan that allows government officials to quickly and safely deploy specialized AI applications.

A serverless AI chatbot implementation using LangChain.js and Azure, enabling Retrieval-Augmented Generation (RAG) to answer queries based on enterprise documents.

An AI-powered frontend engine that lets developers generate, iterate, and refine React components directly within their IDE using special JSX components and props.

A PHP library for Generative AI and vector databases, providing a unified interface to integrate LLMs and vector stores into PHP applications.

An SDK for embedding an intelligent layer into web applications that enables the real-time generation of business logic and UI components.

SlideRule is a product rehearsal engine that transforms a one-sentence idea into a gated, runnable application preview by generating a comprehensive business structure.

A multi-agent collaboration system based on the OpenClaw framework that organizes AI agents into a hierarchical government or corporate structure for efficient task delegation and execution.

A Python library providing an Actor model framework to build scalable agent-integrated systems by connecting AI agents with software interfaces.

A full-scenario Java AI development framework for building LLM applications, RAG knowledge bases, and multi-agent systems with native integration into the Java ecosystem.

Kernel Memory is a multi-modal AI service for efficient dataset indexing and Retrieval Augmented Generation (RAG), providing tools for data ingestion pipelines and natural language querying with citations.

A modular framework of building blocks for rapidly developing GenAI applications, featuring tools for RAG, multi-agent workflows, and full-stack chat infrastructure.

GPTeam is a multi-agent simulation where AI agents collaborate, communicate, and move through a simulated world to achieve common goals.

Shippie is an extendable code-review agent that analyzes diffs and explores codebases to identify bugs, secrets, and inefficiencies during the pull request process.

An open-source AI orchestration framework that implements an agentic agile workflow to prevent context loss and planning inconsistency in AI-assisted software development.

A low-code development tool for building multi-agent LLM applications that simplifies the process of prototyping, deploying, and iteratively optimizing AI workflows.

A Python framework for producing structured outputs and building agentic AI workflows using tasks, specialized agents, and type-safe results.