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Tools, libraries, services and references, each reviewed before it goes public. 6,821 resources listed.

6,821 listings

  • Khazix Skills

    github.com

    A personal collection of Agent Skills, structured instruction sets for AI coding agents, covering goal definition, disk cleanup analysis, AI news lookup, project documentation auditing, research report generation and writing in the author's own voice.

  • A curated list of open source libraries and tools for deploying, monitoring, versioning, scaling and securing machine learning systems in production, organized by task such as AutoML, feature stores, model serving and explainability.

  • A Chinese-language collection of 277 ready-to-use AI agent personas covering roles such as CEO, CTO, engineering, design, marketing and finance, for use with Claude Code, Cursor, Copilot and other coding tools, with an orchestrator that runs several agents together.

  • dbx

    dbxio.com

    A small cross-platform database client that connects to more than 100 databases, including MySQL, PostgreSQL, SQLite, Redis, and MongoDB, with a desktop app, CLI, Docker image, built-in AI assistant, and MCP server.

  • Wasmer

    wasmer.io

    A WebAssembly runtime that runs applications and AI agent code in sandboxed environments, with a command-line tool, an embeddable SDK for several languages, and control over file, network and environment access.

  • A book companion repository with code, case studies and libraries for building, testing and deploying machine learning-based trading strategies, from data sourcing through live execution.

  • LiveKit

    docs.livekit.io

    An open source WebRTC platform for building realtime voice, video and AI agent applications, with a distributed media server, client SDKs for many platforms, and an agents framework for voice AI.

  • FinGPT

    fingpt.io

    An open-source financial large language model project offering sentiment analysis, forecasting and other finance-specific model tooling, maintained by the AI4Finance Foundation.

  • Awesome Neovim

    github.com

    A curated collection of Neovim-specific plugins, covering plugin managers, LSP, completion, file explorers, debugging, git integration and more.

  • A collection of code-first tutorials for building production-grade generative AI agents, covering topics from stateful workflows and vector memory to deployment, security and observability.

  • Dyad

    dyad.sh

    A local, open-source AI app builder that runs entirely on your own machine, positioned as an alternative to hosted builders such as v0, Lovable and Bolt.

  • Coze Studio

    github.com

    An all-in-one visual platform for developing AI agents, apps and workflows, with no-code or low-code tools for prompts, RAG, plugins and workflow orchestration.

  • A code-first Python framework for building, evaluating and deploying AI agents, optimized for Gemini but model- and deployment-agnostic, with sibling implementations in Java, Kotlin, Go and TypeScript.

  • screenpipe

    screenpipe.com

    A local, continuous screen-and-audio recorder that gives AI coding agents such as Claude, Codex and Hermes searchable context about what you have actually done on your computer.

  • PEFT

    github.com

    A library of parameter-efficient fine-tuning methods, such as LoRA, that adapt large pretrained models to a task by training only a small number of extra parameters instead of the whole model.

  • Teable

    teable.ai

    A spreadsheet-style platform, backed by real PostgreSQL, that combines data management, AI-built workflows and app building, self-hostable or used as a hosted cloud service.

  • Datasets

    github.com

    A lightweight Python library for loading ready-to-use public datasets in one line and for efficiently pre-processing them alongside your own local data.

  • React Scan

    react-scan.com

    A drop-in tool that automatically detects and highlights unnecessary re-renders in a React application, without requiring code changes.

  • Recommenders

    recommenders-team.github.io

    Jupyter notebook examples and best practices for building, evaluating and productionizing recommendation systems, maintained under the Linux Foundation.

  • CodexBar

    codex.bar

    A macOS and Linux menu bar app that shows usage limits, reset windows, credit balances and live status for AI coding providers such as OpenAI Codex and Claude Code, without requiring a separate login.

  • nnn

    github.com

    A tiny, fast, nearly zero-configuration terminal file manager with a plugin system for disk usage analysis, batch renaming, previews and more.

  • anydoc

    firecrawl.github.io

    A Rust library, with Node.js, Python and WebAssembly bindings, that converts Word, PowerPoint, Excel, RTF, EPUB, CSV and PDF files into clean Markdown for LLMs.

  • The default collection of casks, or package definitions, that let the Homebrew package manager install prebuilt GUI apps, CLI tools, fonts and plugins on macOS and Linux.

  • Opik

    comet.com

    An open-source platform for tracing, evaluating and monitoring LLM applications, RAG systems and agentic workflows, covering the full lifecycle from development traces to production dashboards.