AI
DEMOS
Use CasesToolkitsRankingsComparisonsShowcaseBetaSubmit ToolAbout Us
Login
Hackathons/AI Demos Hackathon – Building AI Agents with LangChain/LangGraph/Participants/
🏆 View Winners🌟 View Sponsors👥 All Participants
A

Participant

Votes0
Score0
🧠Community0×5= 0
🌐Public0×1= 0

Project Demo

Submission Details

https://www.linkedin.com/in/abhinavkumarsaksena
https://drive.google.com/file/d/1ZfH-F_sSFIm9eVU5b8NAsbMclIEKKzR_/view?usp=sharing
https://github.com/AbhinavKumar0000/Talos

Comments (0)

Explore More

All ParticipantsHackathon Details

Get In Touch

LinkedIn Profile
Featured
FutureSmart Agent image

FutureSmart Agent

A complete AI Agent system for real use cases. RAG, NL2SQL, API actions, multi-agent logic — everything in one place.

Read more

AI DEMOS

Discover the future of AI technology with our curated collection of cutting-edge tools and interactive demos.

© 2025 AI Demos™. All Rights Reserved.

Generators

AudioTextSpeechVideoImage

🔍Research

Use CasesToolkitsRankingsComparisons

Tools & Resources

Free AI ToolsAI PlaygroundResearchYouTube

Personas

Students

Categories

Image GeneratorImage EditingCopy WritingBusiness MarketingProductivityPersonal LifestyleAudio Video Dub
Education AssistantVideo GeneratorAudio GeneratorSocial MediaFun ToolsGpts

Company

About UsBlogsFutureSmart AIContact UsService Delivery PolicyCancellation & Refund PolicyTerms & ConditionsPrivacy Policy

Empowering innovation through AI technology

Built by FutureSmart AILearn with FutureSmart Institute
Made with ❤️ for the AI community

Abhinav Kumar

Abhinav Kumar

TALOS

Linkedin

Individual

December 6, 2025 at 04:06 AM

hear-about-us

Linkedin

name

Abhinav Kumar

College / University Name

VIT Bhopal

linkedIn-profile

Project Title

TALOS

Describe what your project does?

Talos is a next-generation "Agentic OS Interface" powered by Google Gemini 2.0. Unlike standard RAG applications, Talos utilizes a cyclic reasoning engine (LangGraph) to orchestrate complex workflows. It can dynamically switch between searching the live web, analyzing local PDFs, and executing terminal commands via the new Model Context Protocol (MCP) standard. It demonstrates the future of "On-Device AI." By implementing MCP, Talos creates a standardized way for LLMs to interface with local tools without custom APIs. This project proves that AI agents can be trusted with stateful, multi-step tasks on a user's local machine, moving us closer to fully autonomous personal assistants.

Share a 3–5 minute HD demo video

Hosted Project Link (if any)

GitHub Repository (if any)

artifacts/ supporting material

Is this project your original and proprietary work?

Yes

Does your project include any private, sensitive, or restricted code or content?

No

Do you give us (AI Demos & partners) permission to feature your work on our website and share it with our community (with full credit)?

Yes

Do you consent to us showcasing your name/profile on our social media platforms and YouTube

Yes

Are you open to freelance, internship, or collaborative opportunities based on this project?

Yes, I’m interested

Connect with Abhinav Kumar to learn more about their project.