GBrain

Product Introduction

1. Definition: GBrain is a centralized, persistent AI memory and integration platform. Technically, it is a cloud-based workspace that functions as a middleware layer between users and various large language models (LLMs), providing a unified knowledge base and connected toolset.
2. Core Value Proposition: It exists to solve AI context fragmentation. GBrain provides a shared team memory for AI that syncs across different AI interfaces (like Claude, ChatGPT, Cursor), eliminating the need to re-explain context or manage separate API keys for each connected service.

Main Features

1. Unified AI Memory: The core feature is a persistent, editable memory stored as a folder of Markdown files. This AI knowledge base is accessible to any connected AI model within the workspace. How it works: User interactions, notes, and data are written to these files. When a user prompts an AI (e.g., in Claude Code), the relevant context from the memory is injected into the prompt, allowing ChatGPT or another integrated AI to have immediate, consistent context without manual transfer.
2. Centralized Tool Connections: GBrain allows one-time authentication for accounts like Gmail, calendars, and web search tools. This AI tool integration means any approved AI model within the workspace can perform permitted actions (like searching email) without requiring individual users to insert API keys into separate config files, streamlining team AI workflow security and management.
3. Multi-Model, Multiplayer Workspace: The platform supports models from Anthropic (Claude) and OpenAI (GPT) that can be switched dynamically. The shared AI workspace enables entire teams to collaborate within a single environment, sharing the same memory, tools, and scheduled jobs. This facilitates collaborative AI prompting and consistent outputs across team members.
4. Scheduled Skills & Usage Credits: Users can install and run pre-built "Skills" (automated jobs) on-demand or on a schedule. The subscription includes a monthly AI usage credit ($100 value) that covers costs for LLM calls and metered tools (web search, crawling). This provides predictable budgeting and enables automated, scheduled AI tasks.

Problems Solved

1. Pain Point: Context Silos and Repetition. Teams waste time copying prompts, notes, and context between different AI chats and team members, leading to inconsistency and lost information.
2. Target Audience: AI-powered development teams using Cursor or GitHub Copilot; product and operations teams that rely on AI for research, writing, and data synthesis; startups and SMEs looking to standardize and scale their AI adoption across departments without per-seat licensing complexity.
3. Use Cases: A developer writes a project spec in a GBrain note via Claude, and later, a teammate can ask Cursor to implement a feature with full context of that spec. A marketing team connects their shared calendar and email; any AI in the workspace can schedule meetings or draft responses based on team-wide historical context. A team schedules a daily AI skill to crawl competitor sites and summarize changes.

Unique Advantages

1. Differentiation: Unlike individual AI subscriptions (ChatGPT Plus, Claude Pro) or siloed IDE integrations, GBrain is a team-centric AI orchestration layer. It decouples memory and tools from any single AI interface, unlike competitors that lock memory to a specific model or chat history.
2. Key Innovation: The portable, user-owned Markdown memory system. This approach ensures vendor-agnosticism and data ownership. The combination of cross-AI context synchronization with a unified tooling gateway creates a persistent "brain" for the organization that operates independently of the fluctuating AI model landscape.

Frequently Asked Questions (FAQ)

1. What is GBrain AI and how does it work with ChatGPT and Claude? GBrain is a central memory workspace that syncs context between different AIs. It works by maintaining a shared folder of Markdown notes that any connected AI model (like ChatGPT or Claude) can read and update, creating a consistent knowledge base across all your AI tools.
2. Is GBrain a per-user or per-team pricing model? GBrain uses a per-workspace pricing model. One subscription fee covers the entire workspace and an unlimited number of team members, making it cost-effective for teams compared to per-user AI tool licenses.
3. What happens to my data if I cancel my GBrain subscription? You maintain ownership of your data. Upon cancellation, you can export your entire memory as a folder of standard Markdown files. The open-source components of the system are also available for you to run on your own infrastructure.
4. How does the $100 monthly usage credit in GBrain work? The credit is applied against costs incurred for AI model inference (using Claude or GPT models) and metered tool operations like web searches and page crawling. It acts as a prepaid allowance; usage beyond this credit requires purchasing additional top-ups.
5. Can GBrain automate repetitive AI tasks? Yes, through its "Skills" system. GBrain allows you to install and configure automated jobs that can run on a schedule (e.g., nightly), enabling autonomous AI work such as data aggregation, reporting, and monitoring without manual prompting.