Create, deploy and monatize

Time to stake your claim on the AI revolution

The easy layer for monetizing agents

Architects

Utilize our open source pod stack to deploy specialized multi-agent pods. Can operate as standalone products or opt-in to the aggregated network for passive income every time agents within a pod are used.

What will you create?

Engineers

Builders enable rapid development of new integrations and features available in pods. Can choose AG bounties or elect to stake their claim on passive income whenever the tool is utilized

What will you create?

Builders

Create new agents within pods as easy as having a conversation. Pick the agents tools and deploy in minutes. Earn passive income whenever your agent is used.

What will you create

A zero code layer for agent frameworks with native Stripe and crypto integrations. Enabling everyone to stake their claim in the AI economy.

Welcome to
Our creator ecosystem
Builders create agents with conversation
No coding required
Focus on domain expertise
Earn when agents are used

Engineers develop new tools and integrations
Build reusable components for AG bounties
Earn when tools are used

Architects deploy and manage specialized pods
Create standalone businesses
Earn passive income from pods and agentsPublic or private, charge for access

Aggre AI incentivizes builders to create. earn and utilizes AI agents for the world!

Aggregated AI transforms knowledge into production-ready, monetizable agents as simple as having a conversation

Knowledge

Conversation

Deploy & Earn

Meet RIN

Our Virtual YOUTUBER, Agent

A zero code layer for agent frameworks with native Stripe and crypto integrations.Enabling everyone to stake their claim in the AI economy.

RIN's tech stack a deep dive

Rin is more than just a friendly face; she's powered by a sophisticated blend of cutting-edge technologies that enable her to provide a truly unique and engaging conversational experience.

Here's a glimpse under the hood:
Hybrid Knowledge GraphAt Rin's core lies a powerful hybrid knowledge graph. This isn't your average database; it combines the strengths of:Graph Database (Neo4j): We use Neo4j, a leading graph database, to store and connect vast amounts of information about Rin's world, conversations, and user interactions. This allows for lightning-fast retrieval of relevant data and a deep understanding of relationships between different concepts.

Semantic Embeddings:
We leverage advanced machine learning models to generate semantic embeddings for every message. These embeddings capture the meaning and intent behind words, enabling Rin to understand the nuances of human language and provide more contextually relevant responses.
Natural Language Processing (NLP)Rin's natural language processing capabilities are what allow her to understand and respond to your messages in a human-like way. This involves:Sentiment Analysis: Rin can accurately gauge the sentiment and emotions expressed in your messages, allowing her to respond with empathy and adapt her conversational style accordingly.

Intent Recognition:
Rin can identify the intent behind your messages, whether you're asking a question, making a request, or simply expressing yourself. This helps her provide more relevant and helpful responses.

Continuous Learning aka Rin is not a static chatbot; she's constantly learning and improving through:
Offline Reinforcement Learning: We analyze past conversations to identify successful interaction patterns and optimize Rin's responses for engagement and goal achievement.
Knowledge Graph Refinement: As Rin interacts with users, her knowledge graph expands and evolves, capturing new information and refining existing connections. This ensures that Rin stays up-to-date and relevant.

Personalized ExperienceEven without explicit user profiles, Rin strives to provide a personalized experience through.

Global Message Analysis:

We analyze the collective wisdom of all user interactions to identify common preferences and tailor Rin's responses to the general interests of her user base.
Short-Term Contextualization: Rin remembers your previous messages within a conversation, allowing her to maintain context and provide more relevant and coherent responses.