Stridly is an innovative AI-powered goal-setting app designed to help users achieve their personal and professional aspirations. The app allows users to set any goal, from simple habits to ambitious dreams, and breaks these down into smaller, actionable quests tailored to the user’s specific needs. With AI-powered advice and adaptive learning, Stridly provides personalized tips, resources, and motivation to help users stay on track. It visualizes the user’s journey with clear timelines and milestones and helps integrate new habits into daily routines for long-term success. Stridly is catered for anyone looking for structured guidance and support in achieving their goals.

AgentSmith is a modular agent orchestration framework built in Python that enables developers to define, configure, and run multiple AI agents collaboratively. Each agent can be assigned specialized roles—such as researcher, planner, coder, or reviewer—and communicate via an internal message bus. AgentSmith supports memory management through vector stores like FAISS or Pinecone, task decomposition into subtasks, and automated supervision to ensure goal completion. Agents and pipelines are configured via human-readable YAML files, and the framework integrates seamlessly with OpenAI APIs and custom LLMs. It includes built-in logging, monitoring, and error handling, making it ideal for automating software development workflows, data analysis, and decision support systems.

Deep Research Agentic AI leverages advanced language models like GPT-4 to autonomously conduct research tasks. Users define high-level objectives, and the agent decomposes them into subtasks, searches academic papers and web sources, processes and summarizes findings, writes code snippets, and self-evaluates results. Its modular tool integrations automate data collection, analysis, and reporting, allowing researchers to iterate rapidly, offload repetitive work, and focus on high-level insights and innovation.