Directory

Curated lists

Reviewed resources in Curated lists. 308 resources listed.

308 listings in Curated lists

  • AI Megalist

    github.com

    A curated, hand-written index of more than 200 AI tools organized by the job to be done rather than by vendor, with quick-find tables, role-based tool stacks, and short write-ups comparing alternatives.

  • A curated list of AI agent frameworks, platforms, infrastructure, research papers and learning resources, organized by frameworks and libraries, platforms, evaluation and safety, tutorials, and use cases.

  • A curated list of autonomous AI agents and developer tools built on large language models, organized into categories such as agent platforms, coding assistants, IDEs, LLMOps, prompt tuning and security.

  • A structured knowledge repository covering the full lifecycle of building and operating agentic AI systems, from architecture patterns and development frameworks to security, governance and operations.

  • A curated, open-source collection of more than one hundred prompts for the Seedream 4.5 image-generation model, with a searchable web gallery alongside the plain-text list.

  • A curated list of Model Context Protocol clients, server implementations and frameworks, organized by category such as file systems, databases, communication and developer tools.

  • A curated collection of over two hundred deep-dive tutorials that explain the internal architecture of AI agents, LLM frameworks, coding tools and other open-source developer platforms.

  • awesome-ai-prompts

    awesome-ai-prompts.vercel.app

    A curated, tool-agnostic collection of copy-paste prompts for student developers using AI coding agents, built around disciplined workflows that require the agent to read code, take small confirmed steps, and verify its work with tests.

  • A frequently updated list of open source AI agent frameworks and related tools, tracking each project's category, license, programming language and issue-tracker activity.

  • A curated list of open-source tools and frameworks for securing autonomous AI agents, organized by security lifecycle stage from red teaming through runtime protection to governance.

  • Open Weight Models

    philippe-anel.fr

    A curated, actively maintained list of open-weight AI models selected for commercially exploitable licenses, no geographic restrictions, and verified benchmarks, organized by category and VRAM tier.

  • A curated, opinionated set of recommendations for building Model Context Protocol servers and clients, covering tool naming, architecture, testing, deployment, security and performance.

  • An annotated, actively updated reading list of over 500 papers on LLM agents, organized by function such as planning, memory, tool use and safety, built as a companion to a survey paper.

  • A curated, multi-language guide to open-source alternatives across the AI developer stack, from coding agents and local inference to vector databases, evaluation and observability.

  • A survey and curated paper list on audio-visual intelligence, covering how foundation models jointly perceive, generate and interact using both sound and vision.

  • Awesome iOS AI

    github.com

    A curated list of AI agent skills, agent teams, MCP servers and other tools that teach AI coding assistants how to write expert-level Swift and iOS code.

  • A weekly-updated, community-maintained directory of every connector in Anthropic's Claude Connectors catalog, covering both the curated web directory and the in-app catalog, organized by category with descriptions and use cases.

  • A curated list of AI agent projects built with Anthropic, Gemini, OpenAI and open-source models.

  • A curated list of competitions, simulators, frameworks, datasets and papers for building autonomous drone racing software, covering events such as the Anduril AI Grand Prix and A2RL.

  • A selectively curated list of open-source multi-agent orchestrators, coding-agent workspaces, agent runtimes, and related governance layers for running fleets of AI agents.

  • A curated, categorized list of over 180 research papers on quantizing Vision-Language-Action and World-Action models so embodied robot policies fit within memory, latency and energy limits.

  • A curated collection of resources on prompt and context engineering, from basic prompting techniques through agentic patterns, tool use, and production AI system design.

  • A living, auto-curated, machine-readable catalog of over 37,000 open-source projects with practical summaries, categories and transparent quality scoring, meant to give coding agents grounded starting points before a deeper technical, security and license review.

  • A curated collection of AI agent frameworks, developer tools and automation resources compiled by AI Pulse Georgia, searchable in natural language from Claude Code, Cursor or any MCP-compatible client through a bundled MCP server, or from the terminal with an accompanying CLI.