Ml Agent Training

MagicLearn offers structured AI courses covering full‑stack development, AI agents, prompt engineering, and AI coding tools. Designed for engineers, designers, analysts, and founders, it moves learners from fundamentals to production‑ready applications with hands‑on exercises and career‑building com

Mazaal AI is a browser extension that turns repetitive clicks into command‑driven automation. Using prompts, tools, agents, and workflows, it coordinates actions across 400+ apps like Salesforce, HubSpot, Slack, and Notion, automating tasks such as lead generation, research, and publishing.

Unsloth Studio is a no-code web UI enabling local training, running, and exporting of open AI models like Qwen3.5 and NVIDIA Nemotron 3, simplifying experimentation for users without extensive technical expertise.

Maxclaw is a cloud-hosted AI agent built on minimax m2.5, offering one‑click deployment, persistent long‑term memory (200k+ tokens), persona customization, messaging integrations (Telegram/Discord/Slack), and tooling for browsing, code execution, file analysis and automation.

Magma is an AI tutor that provides personalized learning paths to help learners achieve their goals.

The Full Stack offers a complete AI lifecycle curriculum, covering prompt engineering, LLMOps, deep learning, GPU selection, model monitoring, ethics, and MLOps. It trains developers, product managers, and researchers to design, build, and deploy AI applications.

Manifest AI is a GPT‑powered sales associate for Shopify that provides 24/7 product recommendations, order tracking, and support. It offers 500+ pre‑built agents, a no‑code studio, trains on store data, delivers analytics, and integrates with help‑desk, WhatsApp, Instagram, and email.

Lycee AI is an online learning portal that offers structured courses on AI programming, RAG, LLM systems, and audio assistants. It covers generative AI, deployment, finance analysis, and integrates ChatGPT, Midjourney, Mistral, Llama, and Sora.

LLMWare AI installs a lightweight client on PCs, providing instant access to 100+ AI models optimized for Intel and Qualcomm hardware. It supports RAG, auto‑tunes weights, runs locally without Wi‑Fi, and offers an admin console for monitoring, scaling, and audit logs.

AgentX is a multi-agent AI platform for building, training, and deploying conversational agents using a no-code visual builder or developer tools, supporting multiple LLMs, RAG knowledge connectors, omnichannel deployment, integrations, analytics, voice, and on-premise options.

AgentWorks™ facilitates the development and deployment of AI agents within enterprises, offering interoperability, one-click fine-tuning, compliance validation, performance evaluation, multi-agent workflow orchestration, and a secure infrastructure for various deployment environments.

Millis AI enables ultra‑low‑latency voice agents (~600 ms response) with no‑code or low‑code tools, supporting inbound/outbound calls in 100+ countries, webhook integration, multiple LLMs, custom voice cloning, and deployment across phone, web, mobile, SDKs, widgets.

Agentmark is an AI tool for marketing agencies that automates ad campaign management across platforms, reduces human errors, provides QA checklists, and enables real-time budget adjustments, enhancing operational efficiency and campaign effectiveness.

DeepSense.ai provides end‑to‑end AI solutions for enterprises, integrating large language models, retrieval‑augmented generation, MLOps, advanced computer‑vision, edge inference, and predictive analytics to deliver scalable, real‑time AI agents, co‑pilots, and maintenance optimization.

SupportAgent.ai is an AI tool that creates automated draft replies for support agents by learning from previous replies and adapting to the writing style.

TradingAgents is a multi-agent LLM framework that orchestrates specialized AI agents for algorithmic trading research and development. It enables backtesting, model comparison across top LLMs, and structured decision logging for quantitative trading workflows.

Agentz automates real‑time customer engagement across voice, SMS, web, and social channels. Its drag‑and‑drop flow builder and self‑learning responses handle missed calls, webforms, and inquiries without coding, and it integrates with existing databases and systems.

EvalsOne is an evaluation platform for developers and researchers to assess LLM prompts, RAG, and agents using rule‑based or LLM‑based methods, human judgment, and customizable evaluators. It supports multiple APIs and integrates with major AI frameworks.

MLflow is an open‑source AI engineering platform that tracks LLM and agent execution, monitors performance, cost, and safety, manages prompts, and supports experiment tracking, tuning, and deployment across multiple clouds or on‑premises.

OpenManus is an open-source framework for building AI agents, offering flexibility and ease of use. It supports RL-based tuning methods like GRPO, allows LLM API configuration, and enables customizable AI-driven workflows with minimal setup, fostering community contributions.

ag1 Lab is a versatile web-based AI tool offering 9 models for work, research, and automation. It includes a Chrome extension for seamless integration, an education component for personalized learning experiences, and serves as a business co-pilot for improved operations.

Neo AI engineer is an autonomous agent that automates building, evaluating, and deploying ML models, LLMs, and RAG pipelines. It manages experiments, fine-tuning, and multi-step workflows, producing versioned artifacts with full evaluation and benchmarking across vendors.

MotionAgent is an AI assistant that turns ideas into motion pictures using deep learning models, allowing users to generate videos from scripts, create movie stills, compose music, and customize styles easily. Suitable for bringing story ideas to life through AI video creation.

Agents‑Flex is a lightweight Java framework that builds AI agents with Model Context Protocol support, reusable AI skills, Text2SQL, and integrated RAG, vector, prompt, and memory modules, enabling LLM and local Ollama deployment via HTTP, SSE, WebSocket.

C·L·O·N·E·S creates AI clones that read and compose in a company’s language, using Retrieval‑Augmented Generation for accurate information retrieval. They integrate via the Model Context Protocol, support agent‑to‑agent coordination, and run securely on cloud or local systems.