Agent1.ai
Agent1.ai provides infrastructure that makes agentic workflows simple and accessible to consumers and enterprises.
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Description
What is Agent1 ?
Agent1 provides infrastructure that makes agentic workflows simple and accessible to consumers and enterprises.
Autonomous/ Semi Autonomous Ai agents have incredible and economically enriching use cases across research, education, problem solving, bookings, management, etc.
Problems:
Agentic workflows are not plug and play.
1.1 to use requires code heavy steps / have very clunky enterprise UI
1.2 requires the end user to create agents and prompt engineer them
1.3 not realtime. requires engineering from user’s end to connect to realtime internet
1.4 does not have access to real world integrations, user needs to code/engineer them from open source code
1.5 current agentic workflows does not support multimodal inputs (audio + realtime video streaming, screencast)
Solution:
Agent1 is designed to be a robust cloud infrastructure that runs on all popular models.
1.1 Generative UI makes interface based interactions possible
1.2 Agents and their prompt engineering is handled dynamically by a super agent
1.3 Agent1 is connected realtime with internet,
1.4 Agent1 ships with built in integrations across various applications (uber, zapier, google calendar) and can browse the internet if needed
1.5 Agent1 can understand realtime video streaming and speech, and can talk back. Multimodality out of the box.
1.6 Agent1 does push notiifications, so the Ai can notify you realtime if you ask it to do a context specific notification
What Agent1 is not:
Standalone Code assistant- ai programmer employee, code copilots (crowded or unreliable)
Standalone Browser AI RPA - still unreliable at scale without custom engineering
Local environment server that allows users to hard code custom ai agents, prompt them individually and run them in local machines -
Agent1 auto builds, prompts, and executes with tight integration in cloud
Use cases?
Agent1 unlocks many usecases that can automate tasks, make life easier for prosumers and accelerate productivity in companies
Example:
Multimodal inputs makes Agent1 able to see camera or your screen, listen and speak realtime.
-> enable realtime assistance from cooking, choosing next moves in a game, guiding through premiere pro, all the way to inventory tracking, employee onboarding, etc
Generative UI with integrations allow users to interact with llms much more richly
-> Have Agents manage your calendar schedules, Book tickets, ubers, make payments, track finances, stocks, calculators and much more
-> The UI will be generated according to the task at hand realtime, and the ui logic will be handled by the ai, not a fixed source code, hence you can make wider context based actions within Agent1 (eg, check for the next lakers match, and book tickets for me, and make a calendar event for that time)
Agent1 is connected realtime with internet by default
-> can crawl through webpages, get complex info, research for the user effectively
-> can listen for certain events and perform actions ( eg: if TSLA stock falls below x, sell off the shares in robinhood)
Progress During Hackathon
Over the 10-day hackathon, I turned months of research into AgentOS. I finalized the concept and tech stack, set up the development environment, and built the generative UI. I integrated LLMs to create the agent instance, enabled real-time internet connectivity, and added integrations like Stocks and Spotify. I incorporated multimodal input support for voice and video. The final days were spent testing and refining. The result is a platform that simplifies interactions with AI agents.
Fundraising Status
Actively Raising