Directory

Curated lists

Reviewed resources in Curated lists. 308 resources listed.

308 listings in Curated lists

  • Awesome Coding Agent

    awesome-pi.site

    An automatically generated, LLM-curated and continuously updated directory of extensions, themes, videos and articles for the Pi coding agent ecosystem, indexing thousands of resources through a daily discover-filter-classify-render pipeline.

  • A ranked, weekly-updated list of 400 MCP servers grouped into 34 categories, scored automatically from GitHub and package-manager metrics.

  • A curated collection of prompt-engineering patterns, multi-step workflow blueprints and evaluation methods for working with large language models such as Claude.

  • Awesome Rig

    github.com

    A curated list of projects, libraries and articles for building LLM-powered Rust applications with the Rig framework.

  • An installable catalog of thousands of AI coding skills that can be installed into CLI, API, MCP and A2A clients with a single command.

  • A curated survey repository of research, benchmarks and products on coding agents that improve themselves from execution outcomes, memory, tools and accumulated experience.

  • Awesome-Datasets-Hub

    intelligenceacademy.ai

    A curated collection of datasets for training and evaluating large language models, covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation and evaluation benchmarks.

  • A curated list of over 500 community plugins for DeepSeek Harness, an open-source agent runtime in which the coding agent, its tools, models, sandbox, session storage, UI and agent loop are all separately replaceable plugins.

  • Free AI Models

    zerolimitai.com

    A daily-updated, automatically generated list of every currently free LLM API, ranked by a quality score and checked for live availability, pulled from OpenRouter, Pollinations AI and other public sources.

  • A curated list of resources for LLM security operations, covering architecture risks, vulnerabilities, jailbreaks, RAG security, defensive tools, threat modeling, datasets and research.

  • AI OSINT

    7waysecurity.co

    A curated collection of Google dorks, Shodan and Censys queries, GitHub dorks and Sigma rules for finding exposed AI infrastructure on the internet, aimed at red-team operators, penetration testers and OSINT researchers.

  • A comprehensive, continually updated collection of process reward models, models that score each reasoning step rather than only the final answer, for mathematical and other LLM tasks.

  • A curated list of tools and frameworks for running, building, and deploying AI privately on-prem, air-gapped, or self-hosted, spanning inference engines, model serving, and privacy tooling.

  • A curated list of inference engines, vendor SDKs, and research papers for running machine learning models, including large language models, efficiently on mobile and edge devices.

  • Blue-Whale-Harness

    leenkcool.github.io

    A searchable catalog of plugins, skills, and MCP servers for the DeepSeek Harness AI coding tool, each checked individually to confirm it is a real plugin.

  • An open survey and evidence map for judging whether an AI agent system genuinely improves itself from feedback, rather than only appearing smarter in a demo.

  • Awesome A2A

    github.com

    A curated list of servers, clients, frameworks, and tools implementing Google's Agent2Agent protocol for interoperable AI agent systems.

  • An open, free Chinese-language knowledge base of practical AI tutorials, tools and workflows for beginners, covering AI coding agents, content creation and efficiency workflows, maintained by working AI practitioners.

  • A curated, cross-linked map of AI agent frameworks, coding agents, MCP and protocol tooling, memory and knowledge-graph systems, and on-chain identity and payment infrastructure for building agents.

  • A running list of low-bit model quantization research papers from 2020 through 2026, organized by year, covering LLMs, vision-language-action models, and mixture-of-experts.

  • A curated guide of DeepSeek prompting techniques in Chinese, covering the V4 model's thinking-mode settings, official prompt libraries, and ready-to-use templates for analysis, math, coding, and deep-research tasks.

  • A course and project collection of more than 15 autonomous AI agents built with frameworks such as Agno, Microsoft AutoGen, and OpenAI Swarm, covering reasoning, retrieval-augmented generation, multi-agent collaboration, vision, and persistent memory.

  • A practical tip collection for running OpenClaw reliably, covering messaging channel setup, memory hygiene, cost control, operations, automation scheduling, and multi-agent architecture patterns.

  • A curated list of projects, papers, and benchmarks on AI agent self-evolution, memory systems, multi-agent architectures, and self-improvement, organized into a taxonomy with short descriptions of each entry.