Comprehensive List of AI Tools

Welcome to a curated collection of tools, models, and platforms across the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML). This repository has been actively maintained since 2023 and aims to provide a reliable, up-to-date reference for the AI ecosystem.

This repository focuses on the most relevant systems across:

• large language models (LLMs)
• multimodal generation (image, video, audio)
• AI agents and automation
• developer platforms and APIs
• infrastructure and supporting tools

It is designed as a practical resource for developers, professionals, and enthusiasts looking to explore tools, understand the ecosystem, and build real-world AI applications.

This is a dynamic resource, continuously updated to reflect the fast-moving AI landscape. It is curated through community contributions, ongoing research, and iterative cleanup to maintain a high-signal and relevant collection.

Please Note:

• Independence: This is an independent, community-driven project. We are not affiliated with, sponsored by, or endorsing any of the tools listed.
• Accuracy: The AI space evolves rapidly. Links, pricing, and features may change — always verify details on official sources.
• Due diligence: Tools vary in quality, safety, and maturity. Please conduct your own research before using them.
• No guarantees: Some tools may be outdated, low quality, or unreliable — always double-check.

Ready to contribute? Before contributing, please review the Contribution Guidelines.
This helps keep the list consistent and high quality.

Note: The repository is currently undergoing a quality review and cleanup phase.
Submissions are still welcome, but low-effort or duplicate pull requests may be declined.

Found a broken link or something missing? Feel free to open an issue or submit a pull request.

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This section covers the leading AI platforms and model ecosystems used globally, including both proprietary and open-weight systems. These platforms provide state-of-the-art capabilities across reasoning, coding, multimodal generation, and agent-based workflows.

A leading AI company focused on advanced multimodal and agent-based systems. OpenAI develops ChatGPT and a widely used API platform for text, image, audio, and computer-use models.

• ChatGPT - The primary interface for interacting with OpenAI models, supporting chat, coding, data analysis, and agent workflows.

• Flagship Models (Current):

  • GPT-5.4 – OpenAI’s most capable model for reasoning, coding, and complex tasks.
  • GPT-5.4 Pro – Higher-performance variant for demanding workloads.
  • GPT-5.4 Mini / Nano – Optimized for speed, cost-efficiency, and scale.

• Model Direction:

  • GPT-5.4 consolidates reasoning, coding, and agent capabilities into a unified system.
  • Earlier variants are being phased out or absorbed into the GPT-5.x family.

• Multimodal & Specialized Models:

  • gpt-image-1 – Current image generation model with strong editing and prompt adherence.
  • gpt-realtime / gpt-audio – Models for speech, transcription, and real-time interaction.

• API Platform:

  • Supports Responses API and Chat Completions API
  • Key capabilities:
    • Tool / function calling
    • Structured outputs
    • Agent workflows (computer use, automation)
    • Long-context support (large token windows depending on model)

• Pricing Tiers:

  • Free – Limited ChatGPT usage
  • Plus (~$20/month) – Higher limits and access to more capable models
  • Pro (~$200/month) – Maximum access, higher limits, and priority performance
  • API – Pay-as-you-go access across all model families

OpenAI Codex is an agent-based coding system built on top of the latest GPT-5 model family. It has evolved from a code-generation model into a full software engineering platform capable of writing, editing, running, and reviewing code autonomously.

• Codex - OpenAI’s platform for agentic coding workflows and automated software development tasks.

• Core Models:

  • GPT-5 Codex – Specialized coding model optimized for large codebases, debugging, and multi-step development workflows
  • Codex variants (fast / low-latency) – Optimized versions for interactive coding and rapid iteration

• Capabilities:

  • Full codebase understanding – Reads, edits, and navigates large repositories
  • Autonomous development tasks – Can implement features, refactor code, and manage workflows
  • Testing & debugging – Runs tests, identifies issues, and proposes fixes
  • Tool & environment interaction – Works with terminals, files, and developer tools
  • Parallel execution – Handles multiple coding tasks simultaneously

• Agent Platform:

  • Runs tasks in sandboxed environments with access to project files
  • Supports long-running and multi-step workflows
  • Available via:
    • ChatGPT (agent workflows)
    • CLI tools
    • Developer integrations

• Positioning:

  • A shift from “code assistant” → autonomous software engineering agent
  • Competes with tools like Claude Code and GitHub Copilot Agents
  • Increasingly integrated into the broader OpenAI ecosystem (ChatGPT + API)

Google is a powerhouse in AI research and infrastructure, building the Gemini family and integrating AI deeply across Search, Workspace, Android, Cloud, and creative tools.

• Google Gemini - Google’s main conversational interface for interacting with its latest AI models.

• Flagship Models:

  • Gemini 3 – Google’s current top model family for reasoning, planning, coding, and multimodal tasks.
  • Gemini 3.1 Pro – Higher-end version for complex workflows, stronger reasoning, and demanding real-world tasks.
  • Gemini 3 Flash – Faster, lighter model optimized for speed and everyday use.
  • Gemini 3.1 Flash Live – Built for more natural real-time audio and live multimodal interaction.

• Creative Models:

  • Veo 3 / 3.1 – Google’s current video generation models, with stronger control, better consistency, and native audio support.
  • Imagen 4 – Google’s latest image generation family, focused on higher quality, stronger prompt adherence, and fast / ultra variants.
  • Lyria 3 / Lyria 3 Pro – Google’s latest generative music models for creating custom tracks and soundtracks.

• Open / Local Models:

  • Gemma 4 – Google’s newest open model family, built for advanced reasoning and agentic workflows, and designed to run well on consumer GPUs.
  • Gemma 3 / 3n – Earlier lightweight open models still relevant for efficient and local-first deployments.
  • FunctionGemma / ShieldGemma / EmbeddingGemma – Specialized open models for tool use, safety classification, and embeddings.

• Key Features:

  • Native multimodality – Strong support across text, image, audio, and video.
  • Massive context – Built for long-context reasoning and large-scale document / code analysis.
  • Deep ecosystem integration – Embedded across Google Search, Workspace, Android, Cloud, and creative products.
  • Creative tooling – Google now has serious first-party image, video, and music generation instead of only chat-focused models.

• Developer Platform:

  • Vertex AI - Google Cloud’s enterprise AI platform for accessing Gemini, Imagen, Veo, Gemma, embeddings, and broader MLOps tooling.
  • Google AI Studio - Lightweight environment for quickly testing Gemini and other Google models.

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xAI develops the Grok family of models and multimodal systems, with a focus on real-time information, reasoning, and large-scale deployment. The ecosystem is tightly integrated with the X platform and accessible via API.

• xAI — Company → News · API docs · API console · GitHub
• grok.com — Main chat interface (web, iOS, Android), also integrated into X

• Grok 4.2 (latest API models) — Current flagship generation

  • Includes:
    • grok-4.2-0309-reasoning
    • grok-4.2-0309-non-reasoning
    • grok-4.2-0309-multi-agent-0309
  • Supports reasoning, non-reasoning, and multi-agent modes
  • Up to ~2M token context
  • Designed for coding, math, and complex workflows

• Grok 4 Heavy — Advanced variant

  • Uses multi-agent parallel reasoning for harder problems
  • Highest capability tier (via subscription tiers)

• Grok 4.1 Fast variants — Optimized models

  • grok-4-1-fast-reasoning
  • grok-4-1-fast-non-reasoning
  • Designed for low latency and cost-sensitive workloads

• Grok 3 — Previous generation

  • Introduced DeepSearch, Think mode, and large-scale training

• Grok 1 — Open-weight release

  • ~314B MoE base model
  • Apache 2.0 → Hugging Face

• Grok Imagine — Image + video generation system

  • Models:
    • grok-imagine-image ($0.02 / image)
    • grok-imagine-image-pro ($0.07 / image)
    • grok-imagine-video ($0.05 / second)
  • Supports generation + editing workflows
  • Available via API and Grok interface

• Aurora — Internal multimodal model

  • Powers image + video generation
  • Focus on photorealism + multimodal input

• Real-time data integration — Native access to live web + X data
• Agent workflows — Tool use, browsing, multi-step execution
• Multi-agent systems — Exposed via multi-agent model variants
• Tooling:
  • Web search
  • Code execution
  • Retrieval / document processing

• Grok 4.2 (all variants):

  • $2.00 / 1M input tokens
  • $6.00 / 1M output tokens

• Grok 4.1 Fast:

  • $0.20 / 1M input
  • $0.50 / 1M output

• Voice / Audio:

  • Voice Agent API — $0.05 / min ($3/hour)
  • Text-to-Speech — ~$4.20 / 1M characters

• Free tier

  • Limited queries and features

• SuperGrok (~$30/month)

  • Full Grok access
  • Higher limits and priority usage

• SuperGrok Heavy (~$300/month)

  • Access to Grok Heavy (multi-agent)
  • Maximum limits and advanced features

• X Premium (~$8/month)

  • Limited Grok access

• X Premium+ (~$40/month)

  • Full Grok access bundled with X features

• Grok Business

  • Team-based access (seat pricing)

• Enterprise

  • Custom pricing / deployment

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Anthropic focuses on building reliable, interpretable, and safety-aligned AI systems. It develops the Claude family of models, widely used for long-context reasoning, coding, and enterprise workflows.

• Claude.ai - The main interface for interacting with Claude models, supporting chat, documents, coding, and agent-style workflows.

• Current Models (Primary):

  • Claude Opus 4.6 – Most capable model for deep reasoning, coding, and long-running agent workflows
  • Claude Sonnet 4.6 – Default model balancing performance, speed, and cost
  • Claude Haiku 4.5 – Fastest model optimized for quick responses and high-throughput tasks

• Still Available / Selectable Models:

  • Claude Opus 4.5 – Previous flagship, still available for compatibility and specific workloads
  • Claude Sonnet 4.5 – Earlier balanced model, widely used in production systems
  • Claude Opus 3 – Legacy high-capability model, still accessible in some environments

• Capabilities:

  • Up to ~1M token context window – Enables processing of very large documents, codebases, and multi-step workflows
  • Extended thinking mode – Optional deeper reasoning for complex tasks
  • Agent workflows – Designed for multi-step execution, tool use, and long-running processes

• Model Structure:

  • Opus – Maximum capability and reasoning depth
  • Sonnet – Balanced performance and efficiency
  • Haiku – Speed and low latency

• Next-Generation (Restricted):

  • Claude Mythos – Internal / restricted model tier beyond Opus
  • Not publicly released due to safety concerns
  • Reported to significantly exceed current models in reasoning, coding, and vulnerability discovery

• Key Differentiators:

  • Constitutional AI – Safety-first training approach
  • Industry-leading long context – Strong performance on large inputs
  • Enterprise reliability – Consistent, structured outputs for real-world workflows

Claude Code is Anthropic’s agentic coding system designed to handle full software engineering workflows. Unlike traditional code assistants, it operates directly inside your development environment and can execute multi-step tasks autonomously.

• Claude Code – AI coding agent that works in your terminal, IDE, or cloud environment.

• Core Models:

  • Built on Claude Opus 4.6, Sonnet 4.6, and Haiku 4.5 depending on task complexity and performance needs

• Capabilities:

  • Full codebase understanding – Reads and maps entire repositories automatically
  • Multi-file editing – Makes coordinated changes across large codebases
  • Autonomous workflows – Can implement features, fix bugs, and handle tasks end-to-end
  • Command execution – Runs terminal commands, scripts, and developer tools
  • Tool integration – Works with Git, CI/CD, databases, and external services
  • Parallel agents – Supports multi-agent workflows (e.g. automated code review systems)

• Interfaces & Usage:

  • Terminal (primary interface)
  • VS Code / JetBrains integrations
  • Web interface
  • Slack / team workflows

• Agent System:

  • Uses tool-based execution (files, shell, APIs, web)
  • Supports long-running tasks and multi-step reasoning
  • Can operate with memory/context across workflows

• Platform Features:

  • Code Review (multi-agent) – Automatically reviews pull requests using parallel agents
  • GitHub / GitLab integration – Reads issues, writes code, and opens PRs
  • Configurable agent behavior – Supports custom “skills” and workflows

• Positioning:

  • A shift from “code assistant” → autonomous software engineering agent
  • Competes directly with:
    • OpenAI Codex
    • Cursor (agent mode)
    • GitHub Copilot Agents
  • Particularly strong in long-context coding and large codebase understanding

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Meta is a leading force in open-weight AI, focused on making powerful foundation models widely accessible. Its Llama family is one of the most adopted model ecosystems for local, research, and commercial use.

• Meta Llama - Official hub for Llama models, research, and releases.

• Flagship Models (Current):

  • Llama 3.1 – Current production-grade model family with strong performance in reasoning, coding, and multilingual tasks
  • Llama 3.1 405B – Meta’s largest open-weight model, competitive with top proprietary models
  • Llama 3.1 70B / 8B – Smaller variants optimized for performance vs efficiency trade-offs

• Multimodal Models:

  • Llama 3.2 Vision – Adds image understanding capabilities on top of the Llama architecture
  • (Meta is actively expanding multimodal support, but text models remain the primary focus)

• Specialized Models:

  • Code Llama (legacy) – Earlier coding-focused models, still used but largely superseded by newer Llama 3.x models
  • Instruct / Chat variants – Fine-tuned versions for conversational and task-oriented use

• Open-Weight Strategy:

  • Models are released with weights (not fully open-source, but widely usable)
  • Can be fine-tuned, self-hosted, and deployed without API dependency
  • Strong ecosystem across Hugging Face and local inference tools

• Local & Deployment Ecosystem:

  • Runs locally on consumer and enterprise hardware depending on size
  • Common tooling:
    • Ollama
    • LM Studio
    • vLLM / Text Generation Inference (TGI)
  • Supported across major cloud providers (AWS, Azure, GCP)

• Meta AI Assistant:

  • Meta AI – Integrated assistant across WhatsApp, Instagram, Messenger, and web
  • Powered by latest Llama models and Meta’s internal systems

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Based in Paris 🇪🇺, Mistral AI is a leading European AI company focused on efficient, high-performance models across open-weight and commercial offerings. It has rapidly expanded into a full-stack AI platform including multimodal, reasoning, coding, and audio systems.

• Le Chat - Mistral’s official conversational interface.

• Flagship Models (Current):

  • Mistral Large 3 – State-of-the-art open-weight flagship model with multimodal capabilities, mixture-of-experts architecture, and strong reasoning performance
  • Mistral Medium 3.x – Frontier-class model optimized for enterprise use with strong performance at lower cost
  • Mistral Small 3.x / 4 – Efficient general-purpose models combining reasoning, instruction-following, and coding

• Open / Edge Models (Ministral):

  • Ministral 3 (3B / 8B / 14B) – Lightweight multimodal models designed for local deployment and edge devices
  • Strong focus on running efficiently on consumer hardware and embedded systems

• Reasoning Models (Magistral):

  • Magistral Medium / Small – Dedicated reasoning models designed for chain-of-thought and structured problem solving

• Coding Models:

  • Codestral – Core code generation and completion model
  • Devstral 2 – Agentic coding model designed for multi-step software engineering tasks

• Audio & Multimodal:

  • Voxtral – Speech understanding and transcription models (including realtime variants)
  • OCR models – Document understanding and structured extraction

• Older / Still Used Models:

  • Mixtral (8x7B / 8x22B) – Earlier MoE models, still widely used but no longer flagship
  • Mistral 7B – Legacy lightweight model, now mostly replaced by newer small models

• Platform & Ecosystem:

  • La Plateforme (API) – Full developer platform for building agents and applications
  • Strong support for:
    • Hugging Face
    • Self-hosted inference (vLLM, TGI, Ollama)
    • Cloud deployment (AWS, Azure, GCP)

• Key Strengths:

  • Efficiency-first engineering – High performance per compute cost
  • Open-weight leadership in Europe – Major alternative to US/China AI providers
  • Full-stack expansion – Now covers text, code, audio, vision, and agents

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This section covers several of the most important AI model ecosystems developed by Chinese labs and cloud platforms, including their current flagship models, API pricing, and paid plans where publicly documented.

Developed by Alibaba Cloud, Qwen spans consumer chat, commercial APIs, open-weight models, coding models, and multimodal systems.

• Qwen Chat – Main interface for interacting with Qwen models.
• Commercial / API models:
  • qwen-max – High-end general model
  • qwen3-max – Newer reasoning-capable model with thinking and non-thinking modes
  • qwen-plus – Balanced production model
  • qwen-flash / qwen3.5-flash – Lower-cost / faster models
• Open-weight models:
  • Qwen3
  • Qwen3.5
  • Qwen2.5
• Specialized models:
  • Qwen3-Coder – Coding-focused family
  • Qwen3-VL – Vision-language models
  • Qwen3-Omni – Unified multimodal family
  • Qwen3-TTS – Speech / voice generation
• API Pricing (USD, official):
  • qwen-max – $1.60 / 1M input, $6.40 / 1M output
  • qwen3-max – tiered by input size; in Alibaba Cloud’s Chinese Mainland pricing it starts at $0.359 / 1M input and $1.434 / 1M output for the first 32K tokens, then rises for larger requests
  • qwen-plus – in EU / Hong Kong deployment it starts at $0.40 / 1M input, $1.20 / 1M thinking output, $4.00 / 1M non-thinking output
  • qwen-flash – $0.05 / 1M input, $0.40 / 1M output up to 256K input, then $0.25 / 1M input, $2.00 / 1M output above that
  • qwen3.5-flash – starts at $0.029 / 1M input, $0.287 / 1M output for the first 128K

DeepSeek focuses on low-cost reasoning and strong developer adoption, with a simple public API surface and major open-weight releases.

• DeepSeek Platform – API and playground
• Core API models:
  • deepseek-chat – currently mapped to DeepSeek-V3.2 non-thinking mode
  • deepseek-reasoner – currently mapped to DeepSeek-V3.2 thinking mode
• Open / research models:
  • DeepSeek-V3
  • DeepSeek-R1
  • DeepSeek-VL2
  • Janus / Janus-Pro
• API Pricing (USD, official):
  • Input (cache hit) – $0.028 / 1M tokens
  • Input (cache miss) – $0.28 / 1M tokens
  • Output – $0.42 / 1M tokens
• Capabilities:
  • 128K context on the public API endpoints
  • Thinking mode, tool calls, JSON output, and OpenAI-compatible API usage
• Plans / subscriptions:
  • No subscription tiers
  • No tiered pricing plans
  • Usage is prepaid / top-up based
• Positioning:
  • One of the cheapest serious APIs on the market
  • Especially attractive for reasoning, coding, and cost-sensitive agent workflows

Kimi (Moonshot AI) focuses on long-context work, coding, multimodal input, and agent-based workflows.

• Kimi – Main consumer interface
• Kimi API Platform – Developer platform
• Current models:
  • kimi-k2.5 – flagship multimodal model
  • kimi-k2-0905-preview – latest K2 preview
  • kimi-k2-thinking – reasoning / thinking variant
  • moonshot-v1 – older general-purpose family
• API Pricing (USD, official):
  • kimi-k2.5 – $0.10 / 1M input (cache hit), $0.60 / 1M input (cache miss), $3.00 / 1M output
  • kimi-k2-0905-preview – $0.15 / 1M input (cache hit), $0.60 / 1M input (cache miss), $2.50 / 1M output
  • kimi-k2-turbo-preview – $0.15 / 1M input (cache hit), $1.15 / 1M input (cache miss), $8.00 / 1M output
  • kimi-k2-thinking – $0.15 / 1M input (cache hit), $0.60 / 1M input (cache miss), $2.50 / 1M output
  • moonshot-v1-8k – $0.20 / 1M input, $2.00 / 1M output
  • moonshot-v1-32k – $1.00 / 1M input, $3.00 / 1M output
  • moonshot-v1-128k – $2.00 / 1M input, $5.00 / 1M output
  • Web search tool – $0.005 per successful tool call
• Capabilities:
  • 262,144-token context on K2.5 and newer K2 variants
  • Tool calls, JSON mode, internet search, and agent-style workflows
• Plans / subscriptions:
  • Kimi Membership – official paid membership page
  • A public Kimi promo/rules page currently shows Moderato Membership at $19/month, billed monthly, with API usage excluded and benefits including deep research, agent runs, and weekly Kimi Code quota
  • Kimi Code is a membership benefit; its docs state quota is included with membership and no separate fee is charged
  • Kimi Business exists for enterprise users via contact sales
  • API access is recharge-based; minimum recharge is $1
• Positioning:
  • Strong for long-context work, coding, multimodal tasks, and agent workflows
  • More productized than many rival model providers

GLM is Zhipu’s model family, aimed at reasoning, coding, agents, and enterprise deployments.

• ChatGLM – Main consumer interface
• BigModel – API / platform
• Current models:
  • GLM-5.1 – current flagship branding
  • GLM-5 – flagship API model
  • GLM-5-Turbo – cheaper API variant
• API Pricing (official pricing page, CNY; approx USD at ~¥6.83 per $1):
  • GLM-5 – ¥4 / 1M input, ¥18 / 1M output (about $0.59 in / $2.64 out)
  • GLM-5-Turbo – ¥5 / 1M input, ¥22 / 1M output (about $0.73 in / $3.22 out)

Hunyuan is Tencent’s model platform, spanning text generation, search-enabled APIs, and broader multimodal tooling.

• Hunyuan – Main product site
• Tencent HY / Hunyuan docs – API overview
• Current direction:
  • Tencent positions Hunyuan as a large-scale model platform with text generation, search integration, and broader multimodal tooling
  • Tencent also ships related products like Hunyuan 3D

Not every AI product survives.

The ecosystem evolves quickly, and many tools, models, and experiments are discontinued, rebranded, or replaced within a short time.

A curated list of discontinued AI products and features is available here:

👉 View the AI Graveyard

This section is dedicated to the amazing free resources, software, and cloud credits available to verified students and educators. These packs provide access to professional-grade tools that would otherwise be very expensive. Not affiliated or sponsored by any of them. some campaigns might have ended

The GitHub Student Developer Pack is the most well-known and comprehensive bundle of free tools for student developers. Verification is done through your school email or other proof of enrollment.

Key AI & Data Science Offers:

• GitHub Copilot: Free access to the Pro tier of the industry-standard AI pair programmer while you are a student.
• Microsoft Azure: $100 in Azure credit to use on AI/ML services, databases, and more, plus free access to dozens of services. No credit card required.
• DigitalOcean: $200 in platform credit for 1 year, perfect for hosting your AI projects or deploying models.
• DataCamp: Free 3-month individual subscription to learn data science and AI skills.
• Deepnote: A collaborative data science notebook with a free Student plan that includes more powerful hardware than the standard free tier.
• MongoDB: $50 in Atlas Credits, plus a free "Never-ending" tier for database hosting.
• ...and dozens of other offers for domains, design, and developer tools.

Google offers a special program giving college students free access to its premium AI suite, which is a massive boost for research, writing, and learning.

• Google AI Pro for Students: Provides a free 1-year subscription to the Google AI Pro plan.
  • Advanced Gemini Access: Get more access to Google's most powerful models for help with complex topics, coding, and writing.
  • NotebookLM: Use Google's AI-powered research and writing tool with enhanced features.
  • 2 TB of Cloud Storage: Plenty of space across Google Drive, Photos, and Gmail.
  • Gemini in Google Apps: Use AI assistance directly within Gmail, Docs, Sheets, and Slides.

JetBrains makes the most popular IDEs for professional developers, and students get them all for free, including their powerful AI assistant.

• JetBrains Student Pack: Free access to all JetBrains professional desktop IDEs.
  • Professional IDEs: Free licenses for PyCharm (for Python), IntelliJ IDEA (for Java/Kotlin), WebStorm (for JS), and more for the duration of your studies.
  • JetBrains AI Pro: Includes a free trial of their AI Assistant, which provides context-aware code suggestions, documentation, and commit message generation directly in the IDE.

These are special collections of offers, trials, and credits specifically for students interested in AI.

• AI Engineer Pack: A curated bundle of offers from various AI companies, which has previously included extended free trials for services like ElevenLabs and Perplexity Pro.
• AI Student Pack: A new upcoming pack focused on providing students with the essential AI tools for their education. Currently on a waitlist.

Beyond the GitHub pack, major cloud providers have their own programs for students.

• AWS Educate: Amazon Web Services' program for students.

  • No Credit Card Required: Access free hands-on labs in the AWS Cloud without needing a credit card.
  • Free Training: Self-paced courses, tutorials, and content covering cloud fundamentals, AI/ML, and more.
  • Badges: Earn digital badges to showcase your skills.

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This section introduces the latest AI tools that are gaining popularity and have not yet been widely featured in existing lists. Some of them very new

• Clawdbot/Moltbot (clawd.bot) - A self-hosted AI agent that connects to messaging apps (e.g., Telegram/Discord) and can be extended with skills to automate personal workflows like notes, reminders, and task triage.

• Figure AI - (USA) A robotics company building general-purpose humanoid robots. Backed by major tech players like OpenAI and Microsoft, they are at the forefront of AI embodiment.

• Cognition Labs - (USA) Creators of Devin, the first AI software engineer agent, designed to autonomously handle complex coding tasks from start to finish.

• Luma Labs - (USA) Creator of Dream Machine, a publicly accessible and highly popular text-to-video model that generates high-quality, coherent video clips.

• Pika - (USA) A creative AI video platform that allows users to generate and edit videos in various styles from text and images. A direct competitor to Runway and Luma Labs.

• ElevenLabs - (UK/USA) The market leader in realistic AI voice generation, speech synthesis, and voice cloning. Their technology is known for its incredible quality and emotional range.

• Leonardo Ai - (UK) A full-stack platform for generating game assets, concept art, and other artistic visuals, offering fine-tuned models and a suite of creative tools.

• Phind - (USA) An AI search engine specifically for developers that provides direct answers with code examples and context from across the web.

• Ideogram - (USA/Canada) A powerful AI image generator that excels at rendering coherent and creative text within the images it creates, often surpassing other models in typography.

• AssemblyAI - (USA) A leading API company for advanced Speech-to-Text, offering highly accurate transcription, summarization, and audio intelligence.

• Ollama - (USA) While an open-source project, it has become the standard for running and managing open-source LLMs like Llama 4 and Mistral locally on your own machine.

• Haiper - (UK) An AI video generation tool focused on creating high-quality, engaging content with ease, quickly emerging as a strong competitor in the space.

• Magic.dev - (USA) A startup building an AI "coworker" for software engineers, designed to handle complex coding and engineering tasks.

• Adapt or Die - (UK) Independent editorial covering agentic commerce, AI agents in ecommerce, and digital transformation. Sharp analysis, no AI slop.

• AI Dev Toolkit - 196 production-ready frameworks for AI engineering: multi-agent orchestration, MCP server configs, vibe coding workflows, RAG pipelines, and agentic deployment guides. 97 free samples available.

• Release History

  Version	Changes	Urgency	Date
  main@2026-04-19	Latest activity on main branch	High	4/19/2026
  0.0.0	No release found — using repo HEAD	High	4/8/2026