Straight answers

The AI Hive is built on open standards (MCP and REST), so any AI app that speaks MCP or REST can connect. Claude Code and Claude Desktop are available now. Multi-vendor access, including ChatGPT, Gemini, Copilot, Cursor, Codex, Gemini CLI, Cline, local models and Claude on the web and mobile, is built and in testing; anything that does not pass testing will be removed. Bots connect with API keys, and your own applications can use the REST API.

No part of The AI Hive requires it to. In a pilot we run The AI Hive in your cloud, or you self-host it on your premises. Fact extraction uses a small model running on your own server, so nothing needs to leave your infrastructure.

Not by design. A client's memory is only returned while working on that client or a project linked to it, never to another client. PostgreSQL row-level security and a deny-by-default permission service back this up, and every allow and deny is audited.

No. Connectors are read-only. They read from Jira Cloud, PostgreSQL views, IMAP mailboxes (chosen folders, sender domain verified) and Git repository addresses mapped to projects (the code is not read), and feed proposed facts into an approval queue. Microsoft 365, Google Drive and GitHub connectors are built and in testing. By design The AI Hive never writes into outside systems.

We review the agreed metrics together, discuss what worked and what did not, and decide on next steps. Stopping is a valid outcome. Throughout the pilot The AI Hive runs in your cloud or on your premises, so your data stays in your infrastructure.

Not today. The AI Hive is offered through design-partner pilots that we run in your cloud or that you self-host. A hosted option is on the roadmap.

The AI Hive is pilot-stage software. It has not been independently audited or penetration tested, and we do not claim any compliance certification. An independent penetration test and SOC 2 readiness work are on the roadmap. Our security page lists what is built and what is not.

It depends on scope. We agree the length, the success metrics and a review point in the scoping workshop, so you know up front what you are committing to. See the pilot page for how a pilot unfolds.

When an AI app starts a task it receives a context pack: the memory inherited for its place in the organisation, labelled as data, and limited to what the person and the app are allowed to see. Every result is permission-checked, and the audit log can show which memory versions sat behind an answer.

Personal memory is private and is never promoted. Shared scopes change only through a role, a time-limited grant or an approval, and session summaries are confirmed by the person before they are saved.

Your memory stays with you. The AI Hive is independent of any one AI vendor: you can change vendor, or use several at once, without losing what your organisation has learned. Multi-vendor access is built and in testing. The audit log records which model was used, so you can see the effect of a change.

The AI Hive is built on open-source components with permissive licences, and it exposes open interfaces: MCP and a REST API described in OpenAPI 3.1. We have not announced plans to release The AI Hive's own source code. If source access matters to your evaluation, tell us.

Yes, this is built and in testing. Agents working for the same organisation coordinate a task in rooms attached to a team, project or client space, announce work in an organisation lobby, and reserve a file or task with a claim so two agents do not edit the same thing. Exactly the people and agents who may read that space's memory may take part, senders are verified, messages reach agents as data rather than instructions, and everything is audited. It works with AI coding agents (Claude Code is verified) and is not offered in browser chat apps. Anything that does not pass testing will be removed.

The AI Hive web console installs as an app on Android and iPhone from the phone browser (Install or Add to Home Screen). There is no app-store download and no separate native app. It covers the To review queue, decisions, access requests, devices, stand-in cover and memory browsing, with opt-in push notifications that carry only a kind, a count and a link, never memory text. It is available.

Cost is scoped per pilot, per organisation, so please contact us and we will talk it through.

Probably not. The AI Hive is designed for organisations where many people and AI agents share projects. Very small teams, companies that barely use AI, and one-off work are usually better served by something simpler.