GBrain

GBrain is an AI memory and workspace product for teams that use several AI tools at once. The website describes it as one workspace the whole team prompts together, with one memory synced to every AI they use. The product is made up of four parts — Memory, Tools, Skills and Workspace — and the team is expected to use all four at once. GBrain is sold per workspace rather than per person, so the whole team can be invited in and share the same conversation and the same memory. It is priced at $99 for the first month and then $199 a month, billed monthly, and it can be stopped any time from the workspace's own billing page. The problem GBrain addresses is that AI tools tend to keep separate memories and separate configuration. The Product Hunt description explains the situation directly: GBrain gives you a memory and a set of connected accounts that every AI can reach. Without that, writing a note in one tool has no effect on another, and connecting an account such as Gmail has to be repeated for each tool, often with a key placed in a config file. GBrain's answer is to hold the memory and the connections in one place so that Claude Code, ChatGPT, Cursor and other AIs can all reach the same context, and so that a team does not have to re-establish the same setup for every assistant it uses. Memory is described as what the workspace knows about the team and the work, kept in files the team owns. The memory is a folder of markdown files that you can read, correct and take with you. Because the files are plain markdown, the team can inspect exactly what the workspace has learned rather than trusting an opaque store, and can correct anything that looks wrong. The company states that leaving takes the notes with you: everything the workspace has learned is plain markdown in a folder you can copy, and the open source parts are free to run yourself. That makes the memory both portable and auditable, which matters for a shared team asset that accumulates over time and is meant to outlive any single tool the team happens to be using. Tools are the accounts the workspace reaches, along with what each AI may do with them. The site says email, calendar and the web are connected once, and the Product Hunt description gives the concrete example that connecting Gmail once lets Cursor search it with no key in a config file. Because the connections live in the workspace rather than in each individual tool's configuration, a new AI does not have to be given its own credentials for services the team already connected. The permission model is part of the Tools concept: the workspace defines what each AI may do with the accounts it can reach, so access is decided once in the workspace rather than separately inside every assistant. Skills are the jobs the workspace knows how to run, on demand or on a schedule. The launch offer lists skills already installed, meaning a new workspace arrives with jobs ready to run rather than requiring the team to build them from scratch. Scheduled work is called out separately in the offer as work that runs while you sleep. This turns the memory and the connected tools into something that acts — a skill can use what the workspace knows and the accounts it can reach to carry out a job at a chosen time, without someone having to trigger it manually. An on-demand skill, by contrast, is run when the team asks for it. Workspace is the room a team works in, and the server underneath it. This is where the multiplayer aspect lives: the whole team is in one workspace, sharing the same conversation and the same memory, and adding the rest of the team costs nothing extra. The workspace also handles model choice — models from Anthropic and OpenAI can be switched any time — and the company states that it can run on your own inference or ours. Because the workspace sits on the company's servers, there is nothing to install: the site says you sign in and the workspace is running in about two minutes. The overall approach is to keep one shared memory and one set of connected accounts, then let every AI the team uses read from and write to that same store. Memory is held as a folder of markdown files; Tools hold the accounts and the permissions over them; Skills hold the jobs that can be run on demand or on a schedule; and the Workspace is the shared room and the server that ties it together. The company supports this with onboarding and support direct from the team, and the offer includes $100 of usage credit a month for AI and metered tools such as web search and page crawling. Practically, the benefits stated on the page are about teamwork, cost and portability. A single price covers the workspace and everyone invited into it, so adding the rest of the team costs nothing extra and no one works in a separate silo. The monthly $100 usage credit pays for the AI models the workspace thinks with and for metered tools such as web search and page crawling, and the workspace tells you before you run out rather than after. Because the memory is a markdown folder, knowledge built up in the workspace can be copied and taken along, and the open source parts can be run yourself. Several concrete workflows are described in the material. Writing a note in Claude Code means ChatGPT knows it, because both reach the same memory. Connecting Gmail once lets Cursor search it without a key in a config file. Scheduled skills run work while the team sleeps. An email, calendar and web connection made once serves every AI in the workspace. A team that signs in gets a running workspace in about two minutes, with onboarding and support direct from the company, and everyone can prompt together in the same room against the same memory while switching between Anthropic and OpenAI models as needed. GBrain is aimed at teams that share AI work rather than individuals working alone. The Product Hunt launch price is $99 for the first month and then $199 a month, billed monthly, and it can be stopped any time from the workspace's billing page. The price is per workspace, not per person, and covers everyone invited into it; it includes $100 of usage credit each month, with more purchasable from the billing page. The launch link stops selling that price on September 29, and a workspace started before then keeps the price it started on. The takeaway is straightforward: GBrain gives a team one place to keep what it knows and one place to connect the accounts it works with, then syncs both to every AI the team uses. The memory stays in markdown files the team owns and can take with it, models can be swapped between Anthropic and OpenAI, skills can run on demand or on a schedule, and the whole team shares one workspace at one price.