Directory

Curated lists

Reviewed resources in Curated lists. 308 resources listed.

308 listings in Curated lists

  • Awesome DeepSeek Harness

    deepseekdocs.com

    A curated catalog of plugins, tools and infrastructure for the DeepSeek Harness (DSH) agent runtime, sourced from an external plugin hub and the public dsh-plugin GitHub topic, organized into categories such as agents, memory, security and IDE clients.

  • A curated list of remote Model Context Protocol servers that can be reached over the internet, focused on official and well-maintained implementations rather than servers that must be installed locally.

  • Awesome Astra

    github.com

    A curated, evidence-backed collection of use cases, prompts, integrations, evaluations and safety notes for OpenAI's GPT-6 Astra model, grounded in OpenAI's own documentation.

  • A curated list of open-source tools that automate scientific research, spanning literature review, idea generation, experiment execution, paper writing and peer review.

  • LLMs-local

    github.com

    A curated, categorized list of platforms, engines, user interfaces, models, tools, and tutorials for running large language models locally.

  • A curated, regularly updated reading list of papers and the author's own reading notes on multimodal large language models, large language models, and diffusion models.

  • Awesome Atomic

    malix-labs.github.io

    A curated knowledge base about atomic, image-based Linux systems, collecting introductory writing, talks and a list of immutable and declarative distributions.

  • Awesome-AI-Agents

    jenqyang.github.io

    A curated collection of autonomous and multi-agent LLM-powered projects, spanning applications, advanced components, frameworks, benchmarks, and platforms, with a browsable companion website.

  • A curated list of research papers and resources on agentic AI in healthcare, covering medical image analysis, EHR manipulation, patient dialogue, drug discovery, and healthcare administration, tied to a published survey.

  • A curated list of more than 130 terminal-native AI coding agents and the harnesses that orchestrate, sandbox, or extend them, covering open-source, platform, and closed-source tools.

  • A curated list of conformal prediction resources: tutorials, videos, articles, libraries, courses, books and papers on this distribution-free framework for uncertainty quantification in machine learning.

  • A curated list of tools, frameworks, techniques, and learning resources for building retrieval-augmented generation systems, organized by architecture patterns, frameworks, techniques, metrics, and production considerations.

  • A continuously updated, curated index of research papers, projects and agent skills on using large language models to detect software vulnerabilities, spanning function-level, repository-level, agentic and smart-contract detection.

  • Awesome Seedance

    goodcase.ai

    A verified prompt library for the Seedance AI video model, with hundreds of cases checked against their original posts, reusable prompt templates by category, and installable AI-video skills for coding agents.

  • A community-maintained, regularly updated overview of publicly available Japanese large language models and their benchmarks, listing each model's architecture, training data, publisher and license.

  • A curated, timeline-organized list of open-source and other software that combines large language models with web search, such as chat with follow-up questions and agent-driven research tools.

  • LLM Architecture Gallery

    sebastianraschka.com

    A data repository of per-model metadata, such as release dates and fact-sheet fields, that powers a public gallery of LLM architecture cards.

  • A curated list of open-source, research and commercial tools for AI security and AI-assisted cybersecurity, covering autotriage, agent security, AI-powered pentesting, red-teaming and more.

  • A curated list of open-source macOS applications built with Swift, organized by category, meant to showcase practical Swift implementations and UI, performance and menu-bar techniques for macOS developers.

  • A curated list of tools, papers, articles and communities for understanding how large language models work internally.

  • A curated academic collection of jailbreak attack and defense research on large and vision-language models, with papers, code, datasets and evaluations.

  • A biweekly-updated, curated collection of research papers on AI agent applications and architecture, organized by capability, architecture, operations and application.

  • Awesome Claude

    awesomeclaude.ai

    A curated list of official Anthropic resources, Claude Code and MCP tooling, community-built extensions and applications, and educational material about Claude.

  • A curated, actively updated list of notable research papers on multi-agent systems built with large language models, compiled by the Swarms research team.