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White Paper
 

Smarter AI Through Memory and Automation


HiiBo is redefining the way humans interact with AI. By addressing the fragmentation and inefficiencies inherent in current AI tools, we aim to empower users with a dynamic platform that combines persistent memory, customizable chat, and robust automation capabilities.

What makes HiiBo transformative? It is the first platform designed specifically to solve the limitations of traditional conversational AI systems. HiiBo transcends the constraints of ephemeral threads to deliver a persistent, dynamic, and adaptive experience for users.

💡 This white paper outlines the technical foundation, core features, and long-term vision of HiiBo, with a focus on its groundbreaking approach to context retention and user-driven automation.


Background

The rapid advancements in Large Language Models (LLMs) have revolutionized conversational AI. However, current implementations face significant challenges, including limited contextual awareness, thread-based structures, and fragmented user experiences. These limitations hinder productivity and user satisfaction, leaving a gap for a more intelligent and adaptive solution. HiiBo addresses these issues by introducing a persistent, robot-centric conversational model with integrated automation and memory features that evolve with users over time.


The Problem

  1. Thread-Based Limitations: Current conversational AI systems rely on thread-based models that lose context after the conversation ends. Users must repeatedly provide background information, leading to inefficiencies.

  2. Lack of Integrated Memory: Memory features in existing systems are either rudimentary or nonexistent, forcing users to recreate prompts or rely on external tools to manage context.

  3. Disconnected Automations: Automation tools and conversational AI platforms operate in silos, requiring manual integrations and complicating workflows.


Our Solution

Persistent Context with Robot-Centric Conversations

  • Each HiiBo Robot is a personalized AI assistant with its own memory, personality, and capabilities.

  • Conversations are stored within the Robot’s context, eliminating the need for users to recreate threads or prompts.

  • Persistent context enables seamless transitions between sessions and LLMs without losing important information.

Advanced Memory Management

  • HiiBo introduces robust memory features, including short-term and long-term memory storage.

  • Users can manage memory manually and leverage the Memory Wizard to automate updates.

  • Memory fusions mimic human brain functionality, allowing users to refine and optimize their Robot’s knowledge over time. 🧠

Integrated Automation Framework

  • HiiBo’s Automation Wizard allows users to create and manage workflows directly within the platform.

  • Automations can be triggered by variables, schedules, or contextual inputs, enabling personalized and dynamic task execution.

  • The Automation Marketplace fosters community-driven innovation, allowing developers to share and monetize automations.


Core Features

Conversational AI (Chat)

  • Multi-modal inputs, including text, voice, and file attachments.

  • Persistent conversations tied to each robot, enabling better context and continuity.

  • Advanced chat controls, including hallucination tolerance, personality customization, and a model selector for switching between LLMs like OpenAI and Llama.

  • Real-time web search integration to supplement responses with up-to-date information.

Memory

  • Bots retain contextual memory, enabling better responses and reducing redundant prompting.

  • Features include memory search, automated memory generation, and short-term memory management to optimize relevance and efficiency.

  • Visual Memory, enhanced short-term memory workflows, and customizable fusions.

Variables

  • Variable wizard and management tools allow users to define, track, and dynamically use variables.

  • Automated variable generation, tagging, and seamless tag generation for workflows.

Automations

  • Dynamic workflows powered by variables and schedules.

  • Integration with third-party APIs for extended functionality.

  • Developer-friendly tools to expand the platform’s automation ecosystem.

Schedules

  • Sophisticated scheduling tool that works seamlessly with variables and automations to deliver dynamic time-bound workflows.


Technical Architecture

Backend

  • Built on NestJS for scalable and modular backend logic.

  • AWS Aurora and DynamoDB for structured and unstructured data storage.

  • OpenAI, Claude, and other LLM integrations for maximum flexibility.

Frontend

  • React.js for responsive and intuitive user interfaces.

  • Redux for seamless state management across features.

Engines

  • Logic Engine: Processes user inputs, variables, and schedules to generate actionable outputs.

  • Solving Engine: Maps user intent to relevant automations using constraint-solving algorithms.

  • Memory Engine: Facilitates memory storage, retrieval, and fusion operations.

  • API Engine: Manages system-wide API calls, include LLM connectivity, Automations, and authentication.


Use Cases

  1. Productivity Enhancement

  • Automate daily routines, such as scheduling meetings, sending follow-ups, and summarizing emails.

  • Retain context across multiple sessions to streamline collaborative workflows.

  1. Personalization and Creativity

  • Tailor Robots to specific tasks, from creative writing to technical research.

  • Leverage personalized memory and automations to support unique user needs.

  1. Developer Community

  • Build and share automations through the Automation Marketplace.

  • Extend HiiBo’s capabilities by contributing new integrations and workflows.


Market Opportunity

The global AI market is projected to reach $820 billion by 2030, with conversational AI and automation being key growth areas. HiiBo’s unique approach positions it as a leader in this space, capturing value from both individual users and enterprise clients seeking integrated AI solutions.


Go To Market

Pre-Alpha

  • Community engagement through the Developer Ambassador Program and Product Ambassador Program.

  • Foundation building: technical stack, core architecture, POC.

Alpha (June 2025)

  • Launch Alpha features: Chat & Memory.

  • Begin generating revenue at $25/user/month.

Beta

  • Expand into Automations and Schedules.

  • Launch the Beta Games to engage developers and test the automation marketplace.

HiiBo v1

  • Fully operational Bo-Verse, integrating the Automation Marketplace.

  • Enhanced community-driven development and monetization opportunities.


Feature Roadmap

Alpha

  • Core Subfeatures: Chat and Memory capabilities listed above.

Beta

  • Add Automations, including Variable Wizard, Automated Variable Generation, and Tagging Systems.

  • Developer and user engagement through Beta Games.

  • Voice mode, visual memory, and context-aware voice assistants.

Post-Beta

  • Turn on the Automation Marketplace.

  • Launch Schedules: Schedule Wizard, time-sensitive workflows.

  • AI-driven short-term memory prioritization and fusion.


Technology Stack (Evolving)

Frontend:

  • React.js: Dynamic and responsive interface.

  • Redux: Seamless state management for chat, memory, and automation configurations.

Backend:

  • NestJS: Core server-side logic and multi-module management.

  • Node.js: Efficient handling of asynchronous operations.

  • AWS Lambda: Serverless execution for automations and tasks.

Database & Storage:

  • AWS Aurora (PostgreSQL): Structured data handling.

  • DynamoDB: Unstructured data management for memories and logs.

  • Elasticsearch/OpenSearch: Fast retrieval of memory logs.

AI Integration:

  • OpenAI API: Chat and Memory Wizard.

  • Proprietary Logic and Solving Engines*: Power chat customization and workflow efficiency.


Ethics

⚖️ Ethics is a cornerstone of our mission. Our ethical framework includes a strong emphasis on fair compensation: everyone contributing to HiiBo is paid equitably, regardless of location, aligning with our belief in valuing human potential. Additionally, we maintain clear community guidelines to protect against misuse of AI, ensuring HiiBo remains a platform for innovation that uplifts individuals and communities alike. By championing responsible AI development, we aim to democratize AI innovation while staying firmly aligned with our mission to create technology that works for everyone.