Ecosystem & Stack: python

Unsloth Studio is a web UI that enables efficient local training and inference of open-source large language models and other AI models with significant VRAM and speed optimizations.

An LLM-driven system for automated daily stock analysis across A/H/US markets, providing decision dashboards and multi-channel notifications at no cost.

An open-source MCP server connecting AI agents, IDEs, and applications to enterprise databases for data interaction, schema exploration, and code generation.

Ray is a unified framework for scaling AI and Python applications from a laptop to a cluster, simplifying complex ML workloads with a distributed runtime and specialized libraries.

OpenHands is an AI-driven development platform that empowers users to build, run, and scale autonomous software agents for various development tasks.

OpenViking is an open-source context database for AI Agents, unifying memory, resources, and skills through a file system paradigm to enable hierarchical context delivery and self-evolving capabilities.

DeerFlow is an open-source SuperAgent harness designed to research, code, and create by orchestrating sub-agents, memory, and sandboxes with extensible skills for long-horizon tasks.

An open-source platform for comprehensive tracing, evaluation, and optimization of LLM applications, RAG systems, and agentic workflows.

Memori provides an LLM-agnostic layer that transforms AI agent execution and conversations into structured, persistent memory for production systems.

LangChain is a framework for building robust LLM-powered applications and intelligent agents by chaining together interoperable components and third-party integrations.

Agno is a comprehensive platform for building, running, and managing scalable agentic software, addressing the unique challenges of AI agent interaction, governance, and trust in production environments.

MindsDB is an AI-powered query engine that enables AI agents to securely access, unify, and analyze data from diverse sources using natural language and SQL.

An open-source Python framework for building real-time, voice-first, and multimodal conversational AI agents with composable pipelines.

Docling simplifies document processing, parsing diverse formats including advanced PDF understanding, and provides seamless integrations with the generative AI ecosystem.

Deep Agents is a batteries-included AI agent harness built with LangChain and LangGraph, offering out-of-the-box capabilities for planning, file system interaction, sub-agent delegation, and intelligent context management to tackle complex agentic tasks efficiently.

An adaptive Python web scraping framework designed to handle everything from single requests to large-scale crawls, featuring anti-bot bypass and intelligent parsing.

An open-source toolkit that enables Spec-Driven Development, transforming executable specifications directly into working software implementations.

A lean, lightning-fast Python framework for orchestrating autonomous, collaborative AI agents to tackle complex tasks efficiently.

A unified open-source AI Gateway and Python SDK to call over 100 LLM APIs in an OpenAI-compatible format, offering features like cost tracking, load balancing, and guardrails.

An open-source AI orchestration framework for building production-ready LLM applications with modular pipelines and agent workflows.

A scalable and lightweight infrastructure for fine-tuning, inference, and deployment of over 1000 large language models (LLMs) and multimodal large language models (MLLMs) using advanced techniques.

A Python agent framework built by the Pydantic team, designed to simplify and accelerate the development of production-grade Generative AI applications with type safety and robust observability.

A CLI and library for testing, evaluating, and red-teaming LLM applications to ensure security, reliability, and performance across various models.

SGLang is a high-performance serving framework for large language models and multimodal models, optimizing inference throughput and latency.

A Python framework for rapidly building and deploying production-ready conversational AI applications.

vLLM is a high-throughput and memory-efficient open-source library designed for fast and easy serving of large language models.

A production-grade, open-source platform for building and deploying AI-powered instant messaging bots across various chat platforms.

AstrBot is an open-source, all-in-one AI agent chatbot platform and development framework that integrates with various instant messaging apps and LLMs, offering scalable conversational AI infrastructure.

Provides sample code, notebooks, and resources for building and managing generative AI workflows on Google Cloud using Vertex AI and Gemini.

ReMe is a memory management framework for AI agents, addressing limited context windows and stateless sessions by providing persistent, automatically refined memory.

Amazon Bedrock AgentCore provides a framework-agnostic and model-agnostic infrastructure for securely deploying and operating advanced AI agents at scale, with this repository offering practical samples and tutorials.

MemOS is an AI memory operating system designed for LLMs and AI agents, providing persistent, context-aware, and multi-modal memory for enhanced skill reuse and evolution across tasks.

A Python framework for building reliable, predictable, and observable Generative AI agents with minimal overhead.

MaiBot is an LLM-based intelligent agent designed to be a human-like digital companion, prioritizing warmth, authenticity, and genuine connection over perfection or efficiency.

AstronRPA is an open-source, enterprise-grade RPA desktop application offering low-code visual design to automate desktop and web processes, deeply integrating with AI agents for enhanced business automation.

A multi-agent framework for studying emergent behaviors and scaling laws in AI systems through simulation and interaction.

An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production-quality AI applications, including agents, LLMs, and ML models.

Composio provides SDKs and a robust platform to empower AI agents with over 1000 toolkits, enabling them to turn intent into action through seamless tool search, context management, and authentication.

Automates complex browser-based workflows using LLMs and computer vision, providing a resilient and adaptive solution for web interaction.

A user-friendly, self-hosted AI platform providing a powerful interface for interacting with various LLMs, including Ollama and OpenAI-compatible APIs, with advanced RAG capabilities.

A unified and efficient framework for fine-tuning over 100 large language models (LLMs) and vision-language models (VLMs) with both CLI and Web UI.

An open-source financial data platform that integrates diverse data sources and exposes them to analysts, quants, and AI agents.

An open-source knowledge engine designed to build personalized and dynamic memory for AI agents, enabling them to learn and provide relevant context.

Streamlines complex deep learning engineering, enabling scalable AI model training and finetuning across diverse hardware with minimal code changes.

A comprehensive system for optimizing the performance, security, and learning capabilities of AI agent harnesses like Claude Code, Codex, and Cursor.

A high-performance, cloud-native vector database designed for scalable Approximate Nearest Neighbor (ANN) search on massive unstructured data.

An open-source platform for building enterprise-grade AI agents, integrating RAG, robust workflows, and multi-modal capabilities to enhance smart Q&A and automate complex business scenarios.

An open-source ETL solution for transforming complex documents into clean, structured data formats, optimized for language models.

Enables AI agents to interact with and automate tasks on websites, making web content accessible for large language models.

LightRAG is a simple and fast framework for Retrieval-Augmented Generation, designed to enhance LLM performance with external knowledge.

LlamaIndex is an open-source framework designed to build intelligent agentic applications by connecting Large Language Models (LLMs) with private or custom data sources, focusing on document understanding and OCR.

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows, powered by an embeddings database.

A Python library for building, deploying, and scaling AI/ML model inference APIs and serving systems.

Run open-source large language models locally on your machine with a simple CLI, REST API, and client libraries.

Clawith is an open-source multi-agent collaboration platform that empowers AI agents with persistent identities, long-term memory, and dedicated workspaces, enabling them to function as autonomous digital employees within teams.

Cua provides open-source infrastructure, including sandboxes and SDKs, to build, train, and evaluate AI agents capable of controlling full desktop environments across macOS, Linux, and Windows.

A personal AI agent in your terminal, equipped with local tools for coding, terminal operations, and web browsing, enabling autonomous task execution.

An open-source framework for training multi-step LLM agents using reinforcement learning (GRPO) to improve their reliability and performance on real-world tasks, with an optional serverless training service.

An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

An open-source infrastructure providing secure, isolated cloud sandboxes for executing AI-generated code with developer-friendly SDKs.

A production-ready, pre-trained time series foundation model (TimeGPT) for accurate forecasting and anomaly detection across various domains with minimal code.

A programming framework for building multi-agent AI applications that can operate autonomously or collaboratively with humans.

An open-source simulator for autonomous driving research, providing a flexible platform and open digital assets for the development, training, and validation of AD systems.

A production-ready, extensible AI agent framework designed for building, deploying, and understanding intelligent agents powered by advanced LLMs, with built-in finetuning and multi-agent orchestration.

A human-centric Python framework for building, managing, and deploying real-life AI/ML systems from rapid prototyping to reliable production.

An open-source, privacy-aware personal AI assistant designed for local operation and agentic task execution.

Mem0 provides a universal, intelligent memory layer for AI agents, enabling personalized and context-rich interactions across various applications.

An enterprise-ready, model-agnostic SDK for building and orchestrating intelligent AI agents and multi-agent systems with cutting-edge LLM technology.

PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes for human-like, context-aware document retrieval, outperforming traditional vector-based methods.

An industrial-strength Python library for advanced Natural Language Processing, offering state-of-the-art models and a production-ready training system.

A terminal tool that detects your hardware and recommends optimal LLM models, providing performance benchmarks for local execution.

A unified, production-ready inference API for deploying and serving open-source language, speech, and multimodal AI models on various infrastructures.

An AI multi-agent orchestration system inspired by ancient Chinese imperial governance, featuring institutional review, real-time dashboards, and full audit trails for reliable and observable AI collaboration.

Operit AI is the first fully-featured AI assistant application for Android, offering powerful tool-calling, local model support, and a built-in Ubuntu 24 environment for advanced automation.

An AI-driven platform that transforms research papers, text, or topics into editable scientific figures, technical diagrams, and presentation slides with universal file support.

A next-generation training engine optimized for ultra-large Mixture-of-Experts (MoE) models, offering superior efficiency and scalability.

A comprehensive tutorial guiding users from foundational theories to practical implementation of AI-native intelligent agent systems.

An AI developer platform for tracking, visualizing, and managing machine learning models from experimentation to production.

iii unifies diverse backend services like APIs, task queues, and schedulers into a single engine using Function, Trigger, and Worker primitives for simplified distributed system development.

A unified Python framework for building local, private, and secure enterprise RAG pipelines using small, specialized LLMs and a comprehensive model catalog.

An educational project providing step-by-step code to build a ChatGPT-like Large Language Model (LLM) from scratch using PyTorch.

A production-ready framework for building controlled, consistent, and predictable customer-facing AI agent interactions with LLMs, optimized for context engineering.

A universal viewer for neural network, deep learning, and machine learning models, supporting a wide array of formats.

DVC (Data Version Control) is a command-line tool and VS Code extension for managing data, models, and ML experiments, enabling reproducible machine learning projects.

FlagEmbedding (BGE) is a comprehensive toolkit offering state-of-the-art embedding models for efficient search, Retrieval-Augmented Generation (RAG), and various multimodal AI applications.

Acontext is an open-source skill memory layer for AI agents that automatically captures learnings from agent runs and stores them as readable, editable, and shareable skill files.

An industry-leading, open-source platform for advanced AI-driven face manipulation and deepfake creation.

An open standard and format for machine learning models, enabling interoperability across different AI frameworks and hardware.

Leveraging AI models for one-click video commentary and editing, enabling efficient content creation.

Heretic is an AI model utility that automatically removes censorship and safety alignment from transformer-based language models without requiring expensive post-training.

A flexible CLI-first framework for building, evaluating, and interacting with sophisticated multimodal LLM agents and workflows, offering comprehensive model and skill support.

An AI-powered customer service bot for Xianyu, offering 24/7 automated support, multi-expert decision-making, smart negotiation, and context-aware conversations.

An open-source, enterprise-grade AI Cloud OS providing a knowledge base and a comprehensive management platform for AI models (MCP) and agents (A2A), complete with admin UI, user management, and SSO.

An AI-powered tool for comprehensive video subtitling, offering speech-to-text, intelligent segmentation, LLM-based optimization, translation, and video synthesis.

A modular framework built with LangGraph for developing advanced Agentic RAG systems, offering both learning materials and an extensible architecture.

An AI-driven local automation assistant that acts as a personal data warehouse and tool orchestrator for any LLM, enabling cross-vendor memory, file storage, and real-world actions.

LEANN is an innovative on-device vector database enabling private, efficient, and fast Retrieval Augmented Generation (RAG) across all your personal data with significant storage savings.

A comprehensive platform enabling users to create personalized AI twins by fine-tuning Large Language Models with their unique chat history, capturing individual style and bringing digital selves to life.

TuriX empowers AI models to directly interact with and control your desktop, automating complex tasks across various applications with high accuracy.

An open-source integration platform enabling AI models to connect with thousands of APIs, data sources, and tools via simple SDKs and the Model Context Protocol (MCP).

An APM tool for large-scale distributed systems, providing real-time monitoring and code-level visibility across transactions.

Snyk Agent Scan is a security scanner designed to discover and analyze AI agent components for prompt injections, vulnerabilities, and sensitive data handling issues.

A Python framework for building autonomous and traditional AI agents, offering robust tools, prebuilt components, and integrated OCR capabilities.

OSWorld is a benchmark and environment for evaluating multimodal AI agents on open-ended tasks within real computer operating systems.

An open-source platform for debugging, evaluating, and monitoring AI/ML models and pipelines.

A lightweight Python library that enables seamless integration of Anthropic Model Context Protocol (MCP) tools with LangChain and LangGraph.

An official guide and collection of recipes for building applications with the Llama model family, covering inference, fine-tuning, and RAG.

A comprehensive, free online course from Hugging Face designed to teach the fundamentals and advanced techniques of building AI agents.

Argilla is an open-source collaboration tool for AI engineers and domain experts to build and manage high-quality datasets for various AI models, leveraging human feedback and programmatic workflows.

A powerful application that transforms diverse unstructured data sources into structured Neo4j Knowledge Graphs using Large Language Models (LLMs) and LangChain.

A Python SDK and platform providing comprehensive observability, monitoring, and evaluation tools for AI agents, from prototype to production.

A comprehensive, full-stack guide to Retrieval Augmented Generation (RAG) technology for large language model application development, covering theory, practice, and engineering best practices.

A lightweight Python utility for converting diverse file formats and office documents into structured Markdown, optimized for Large Language Models (LLMs) and text analysis pipelines.

A beginner-friendly, hands-on tutorial for large language model (LLM) application development, focusing on practical skills and RAG implementation.

A repository showcasing various advanced Retrieval-Augmented Generation (RAG) techniques through detailed notebook tutorials.

Build and customize RAG pipelines and chatbots over your data using natural language, powered by Streamlit.

An AI-powered research assistant for deep, agentic research, supporting local and cloud LLMs, multiple search sources, and ensuring data privacy with local, encrypted storage.

A Python SDK that simplifies the creation and deployment of AI agents using a model-driven approach, supporting diverse LLMs and advanced features.

A self-hosted, local-first cognitive memory engine providing real long-term memory for LLM applications and AI agents, distinct from RAG or vector databases.

RamaLama is an open-source developer tool that simplifies the local serving and production inference of AI models by leveraging familiar container technology.

A high-performance inference and deployment toolkit for Large Language Models (LLMs) and Vision-Language Models (VLMs) based on PaddlePaddle.

A KVCache-centric disaggregated architecture for high-performance LLM serving, powering leading AI services.

An easy-to-use, scalable, and high-performance open-source framework for Reinforcement Learning from Human Feedback (RLHF), leveraging Ray and vLLM for distributed training of LLMs and VLMs.

A production-ready platform for structured data extraction and instruction calling using ML, LLM, and Vision LLM technologies.

A comprehensive open-source library providing AI agents with the skills to autonomously conduct the entire AI research lifecycle, from ideation to paper writing.

A hands-on course for systems engineers to build an efficient LLM inference serving system from scratch on Apple Silicon using MLX, mimicking vLLM's core techniques.

A comprehensive, curated list of research papers and associated code implementations focused on optimizing Large Language Model (LLM) and Vision-Language Model (VLM) inference.

Aix-DB is an intelligent data analysis system leveraging large language models and RAG technology to transform natural language queries into data insights and visualizations.

An open lakehouse format for multimodal AI, offering high-performance random access, vector indexing, and data versioning.

A platform to programmatically author, schedule, and monitor data workflows.

A Python framework for building reproducible, maintainable, and modular data engineering and data science pipelines using software engineering best practices.

A unified system to run, manage, and scale AI workloads across any infrastructure, including Kubernetes, Slurm, and over 20 cloud providers.

DataChain provides a typed, versioned, and queryable data context layer for unstructured data in object storage, empowering AI agents and pipelines with efficient metadata management and incremental computations.

An open-source Python library for evaluating, testing, and monitoring ML and LLM systems from experiments to production, supporting tabular and text data with 100+ built-in metrics.

Dynamic, resilient open-source orchestrator for building scalable and reproducible data and ML pipelines on Kubernetes.

SwanLab is an open-source, modern-design platform for tracking, visualizing, and analyzing AI/ML training experiments, supporting cloud and self-hosted deployments.

Taipy is a Python library that empowers data scientists and machine learning engineers to rapidly transform their data and AI algorithms into production-ready web applications.

An open-source, multi-type data labeling and annotation tool with a simple UI and standardized output, designed to prepare and improve data for machine learning models.

An open-source platform for building, deploying, and managing end-to-end machine learning workflows on Kubernetes.

An open-source AI platform that unifies ML pipelines and agentic workflows, abstracting infrastructure complexity for ML/AI engineers.

A collection of Jupyter notebooks demonstrating how to build, train, and deploy machine learning models using Amazon SageMaker and its new Python SDK, SageMaker-Core.

A Python package offering production-ready templates and infrastructure for deploying GenAI agents on Google Cloud, now superseded by `agents-cli` for ongoing development.

A comprehensive MLOps platform for managing, orchestrating, and scaling the machine learning lifecycle with reproducibility and automation.

An open-source tool designed to log, compare, and observe machine learning training runs and AI metadata with an intuitive UI and programmatic API.

Apache Hamilton is a lightweight Python library that enables data scientists and engineers to define testable, modular, and self-documenting dataflows (DAGs) with built-in lineage and metadata, portable across any Python environment.

An open-source feature store for AI/ML that streamlines the management and serving of features for model training and online inference.

A powerful data quality framework that provides expressive unit tests for your data, ensuring reliability and consistency.

A cloud-native data pipeline orchestrator designed for the development, production, and observation of data assets, featuring integrated lineage, observability, and a declarative programming model.

A radically simple yet highly performant AI agent for software engineering, capable of solving GitHub issues and assisting in command-line tasks.

An open-source, offline-deployable RAG and Agent application built with Langchain, supporting various LLMs for private, local knowledge base Q&A.

A semantic caching library for LLM queries, designed to drastically cut API costs and accelerate response times.

A comprehensive Chinese-language tutorial for LangChain, guiding developers to build powerful applications powered by large language models.

An open-source BaaS platform that unifies hundreds of LLM models and provides comprehensive tools for developing, deploying, and managing AI-native applications and LLM-based agents.

An open-source Python library providing a LangChain-compatible implementation of the ChatGPT Code Interpreter for sandboxed code execution.

An intelligent dialogue system leveraging RAG technology to build custom Q&A systems from diverse knowledge bases.

Automatically generates comprehensive, interactive, and visually rich wikis for GitHub, GitLab, and BitBucket repositories using AI.

ClearML streamlines AI/ML/LLM workflows with integrated experiment tracking, data management, MLOps/LLMOps orchestration, and model serving.

Maestro is Netflix's highly scalable, general-purpose workflow orchestrator, providing a fully managed workflow-as-a-service for data and ML pipelines.

A production-ready RAG framework that provides modular, API-driven components and a UI to streamline the deployment and management of Retrieval Augmented Generation applications.

Build machine learning models from natural language prompts using an AI-powered multi-agent system.

A comprehensive educational platform teaching developers how to design, develop, deploy, and iterate on production-grade machine learning applications.

A comprehensive practical guide and accompanying code repository for LLM engineers, covering the full lifecycle of building, deploying, and monitoring advanced LLM and RAG applications on AWS with LLMOps best practices.

A versatile framework designed to train and optimize AI agents from any framework with minimal code changes, leveraging advanced algorithms like Reinforcement Learning.

Deep Lake is an AI data runtime and database optimized for deep learning, offering serverless multimodal data storage, scalable retrieval, and training capabilities.

A PyTorch library enabling accessible large language models through k-bit quantization, significantly reducing memory consumption for both inference and training.

A low-code, declarative framework for building and deploying custom large language models (LLMs) and other deep neural networks with ease and efficiency.

Deep-Live-Cam enables real-time face swapping and one-click video deepfake generation using just a single image.

A platform for building stateful AI agents equipped with advanced memory, enabling them to learn and self-improve over time.

A cutting-edge framework for multi-agent collaboration to automate real-world tasks using AI.

Fay is an AI agent framework designed to connect digital humans (2.5D, 3D, mobile, PC, web) and large language models (OpenAI compatible, DeepSeek) with various business systems.

An LLM inference server optimized for Apple Silicon, featuring continuous batching, tiered KV caching, and macOS menu bar management for efficient local AI.

Automates data-driven AI R&D processes using AI agents, excelling in machine learning engineering tasks.

An AI-powered tool that generates high-definition short videos automatically from a given topic or keywords, including script, footage, subtitles, and background music.

Empowers AI assistants to directly interact with and automate tasks within the Unity Editor, streamlining game development workflows.

SimpleMem offers an efficient, lifelong, and multimodal memory solution for LLM agents, featuring semantic lossless compression for diverse data types.

A comprehensive repository offering practical implementations of 17+ state-of-the-art AI agent architectures using LangChain and LangGraph for hands-on learning and development.

OpenVINO is an open-source toolkit designed to optimize and deploy deep learning models for efficient AI inference across a wide range of hardware platforms.

A command-line tool and Python library to interact with various large language models, both remote APIs and local models.

Learn to build a personalized AI assistant leveraging your 'Second Brain' knowledge base using advanced LLM, RAG, and agentic techniques with MLOps best practices.

A 12-week, 24-lesson curriculum from Microsoft to learn Artificial Intelligence for beginners, including practical lessons, quizzes, and labs.

A comprehensive repository offering C++ and Python code examples for computer vision, deep learning, and AI research articles from LearnOpenCV.com.

An AI-powered custom node for ComfyUI that automates workflow creation, debugging, and optimization, acting as an intelligent development partner for AIGC.

Gitingest transforms any Git repository into a structured, prompt-friendly text digest, optimized for large language models to understand codebases efficiently.

A Python library that leverages LLMs and graph logic to simplify web scraping and data extraction from various sources.

A comprehensive toolkit providing best practices, examples, and state-of-the-art algorithms to assist in prototyping, experimenting with, and operationalizing recommendation systems.

An open-source framework designed to make large AI model training and inference cheaper, faster, and more accessible through advanced distributed computing and memory optimization techniques.

An open-source, local-first AI memory system designed for verbatim storage and high-recall semantic retrieval of conversation history.

An ultra-lightweight, open-source personal AI agent platform designed for efficiency and broad compatibility across various LLM providers and communication channels.

Fabric is an open-source framework that organizes AI prompts by task, simplifying AI integration and augmenting human capabilities across various tools and interfaces.

QwenPaw is a personal, self-hostable AI assistant platform designed for privacy, extensibility, and multi-channel integration, empowering users with full control over their data and capabilities.

A comprehensive GitHub repository offering 22 hands-on Jupyter Notebook tutorials on prompt engineering techniques, from basic to advanced, for leveraging large language models.

A command-line tool powered by AI large language models to quickly generate shell commands, code snippets, and documentation, significantly boosting developer productivity.

An AI agent that automates the creation of permissionless integrations by reverse-engineering platforms' internal APIs.

Optimizes AI coding tools by building a local knowledge graph of your codebase, significantly reducing token usage for code reviews and daily coding tasks.

A Python library leveraging LLMs to extract structured information from unstructured text with precise source grounding and interactive visualization.

UFO³ is a revolutionary framework that orchestrates intelligent agents across multiple heterogeneous devices to automate complex, cross-device workflows and tasks.

A framework for building realtime, programmable voice AI agents that can see, hear, and understand.

A lightweight, self-hosted web interface providing full CLI parity for the persistent and self-improving Hermes AI Agent, accessible from any device.

A lightweight library providing one-line dataloaders and efficient pre-processing tools for a vast hub of AI datasets, supporting various ML frameworks.

GPT Pilot is an AI developer companion designed to build complete, production-ready applications, automating up to 95% of the coding process with human oversight.

An ultra-compact 7B parameter AI agent designed by Microsoft to automate multi-step computer tasks through visual perception and direct interface interaction.

BAML is an AI framework that transforms prompt engineering into schema engineering, enabling developers to build reliable, type-safe AI workflows and agents across multiple programming languages.

An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse for fast, scalable vector search and data management.

An open-source memory library and managed service for building stateful AI agents that learn and adapt over time.

A Google-built open-source framework simplifying the development and deployment of full-stack AI applications across JavaScript, Go, and Python.

An AI-native database designed for LLM applications, offering incredibly fast hybrid search across dense vector, sparse vector, tensor, and full-text data.

A unified, open-source enterprise data warehouse built in Rust, offering analytics, vector search, and full-text search, with agent-ready capabilities for AI workloads.

MineContext is an open-source, proactive context-aware AI partner that enhances productivity by understanding your digital world and delivering timely insights.

DeepSearcher is an open-source platform that leverages LLMs and vector databases to enable deep research, intelligent Q&A, and comprehensive reporting on private enterprise data.

A cutting-edge framework for building fast and simple neural data processing pipelines, especially for unstructured multi-modal data using LLMs.

A Python library for representing, transmitting, storing, and retrieving multimodal data, designed for AI applications.

A free, hands-on course to build a production-ready LLM & RAG system, including a personalized AI replica, applying LLMOps best practices.