Up: promotion Available now
Validated insights move up only with approval. To Team when at least 3 people independently confirm it, to Project by a project lead, to Organisation by governance. Personal memory is private and is never promoted.
The AI Hive by IT Labs India: Shared Cognitive Memory Layer
Cognitive memory that stays with you, whichever AI you use.
Change AI vendor, or use several at once. Your company's memory stays yours and keeps working.
One governed memory for your company's people and their AI assistants, organised by organisation, project, client, team and person, permission-checked on every request, and kept up to date for everyone at once.
Updated
The memory core
QueenBox is the memory at the centre of The AI Hive.
The AI Hive is one product, the pack, made of its modules. Its memory core is QueenBox: the part that extracts, confirms, updates and disputes what your people and their AI seats know.
The rest of The AI Hive, its scopes, permission checks, approvals and audit trail, governs who may see and change that memory. QueenBox is also a product on its own. Updating memories is still maturing, so a person reviews proposed updates; the QueenBox page says what works and what does not.
- QueenBoxThe memory core of The AI Hive, and a product on its own. In development
The family
The AI Hive is the hive. Our other products are the colony.
Every product has its own colour and works on its own. Together they make one hive, with The AI Hive at the centre as the memory they share and a person approving what matters.
- The AI Hive · the hive itself: one shared memory In development
- CombBase · the comb: your work, indexed In development
- BeeBox · the bees: AI agents at work In testing
- NectarBox · the nectar: private models In testing
- AI BeeKeeper · the keeper: books and GST In development
- HiveGate · the visitors: enquiries to deals In development
- BroodBox · the brood: work tracked In development
- You · a person approves
Each product also works on its own. Links between them are marked built or planned on each product's page.
- The AI HiveThe hive itself. One governed memory for your people and every AI tool they use. In development
- CombBaseThe comb. Reads your git, Slack, Drive and mail into one index on your own box; it is meant to give The AI Hive its sources (planned). In development
- BeeBoxThe bees. Your AI agents work together in rooms; what they learn is meant to reach The AI Hive (planned). In testing
- NectarBoxThe nectar. Private AI models that run in house, planned as the models the other products use. In testing
- HiveGateThe visitors. Enquiries from email and WhatsApp become contacts and deals. A separate product today. In development
- AI BeeKeeperThe keeper. Bookkeeping and GST returns for Indian businesses and their CAs. A separate product today. In development
The problem
You are paying for intelligence and getting amnesia.
You have already invested in AI. Your teams use it daily. Yet most of that intelligence evaporates every time a session ends.
Most models have memory. Almost none have governed flow.
Without a shared, governed layer, every assistant is a stranger to your projects, your clients and your decisions. The people who do remember are the ones who eventually leave.
| What happens now | What it costs |
|---|---|
| Each AI session starts cold | Repeated context-setting and wasted time |
| Knowledge stays with individuals | Staff turnover erases know-how |
| Agents cannot coordinate | Duplicate or conflicting work |
| No record of what the AI knew | Hard to explain decisions in regulated work |
| Personal and team data are mixed | Privacy and leakage risk |
How it works
Memory with structure: scopes, and three governed flows
The AI Hive organises what your company knows into scopes and moves knowledge between them under clear rules. Nothing reaches a shared scope by accident.
FIG. 1 · MEMORY SCOPES AND FLOWSSEVEN SCOPES
Down: inheritance Available now
When a higher scope changes, every affected person's AI gets the update. New members inherit context immediately.
Across: synthesis Available now
Team knowledge can be merged into project knowledge. It is off until an admin switches it on, and always needs approval.
Key capabilities
Everything a shared memory needs to be trusted
These capabilities are built. Most are verified in our own simulation; those marked In testing are still being validated. The full list, with what is still on the roadmap, is on the features page.
Context pack Available now
What an AI app receives at the start of a task: the memory inherited for its place, with a manifest for cheap refresh. Less repeated context-setting.
Hybrid search Available now
Meaning plus keyword search, with every result re-checked against permissions before it is returned.
Governed writes Available now
Nothing reaches a shared scope without a role, a time-limited grant or an approval.
Client walls Available now
A client's memory is only returned while working on that client or a project linked to it. Built so that it does not reach another client; checked by our own tests.
Audit log Available now
Every allow and deny is recorded with who, where, which app and which model. "What the AI knew" shows the memory versions behind each answer.
Multi-vendor AI access In testing
Change AI vendor, or use several at once: ChatGPT, Gemini, Copilot, Cursor, Codex, local models and more can connect over MCP and REST. Claude Code and Claude Desktop are available now. Built and in testing; anything that does not pass testing will be removed.
Agents working together In testing
AI agents coordinate one task in rooms with an organisation lobby and claims, under the same permissions and audit as memory.
The AI Hive on your phone In testing
The web console installs on Android and iPhone from the browser, with opt-in push notifications built so that they carry no memory text. Built and in testing. Anything that does not pass testing will be removed.
Read-only connectors In testing
Jira Cloud, PostgreSQL views, IMAP mailboxes and Git repository addresses feed proposed facts into an approval queue. Connectors only read; The AI Hive sends data out only where you set it (webhooks, mail, push). Tested on test copies, not yet on live accounts. Built and in testing. Anything that does not pass testing will be removed.
Built for governance
Deny by default, enforced where the data lives
Row-level securityPostgreSQL row-level security on every table, so tenant isolation is enforced by the database.
Deny-by-defaultA permission service that checks every request. Built so that an agent has no more rights than its user; checked by our own tests.
Audit in the transactionEach audit record is written in the same transaction as the change it describes.
Data, not instructionsMemory is returned labelled as data. Text that looks like instructions is flagged and cannot be bulk-approved.
Who it is for
A fit when many people and many agents share the same work
A strong fit
- Mid-size and large companies where many people and AI agents share projects
- Consultancies and suppliers with many clients that must be kept apart
- Companies where answers must be traceable, including regulated fields such as engineering, shipbuilding, automotive, finance and health; no compliance certification yet
- Companies using several AI tools
- Long programmes with staff turnover
Probably not a fit
- Very small teams
- Companies that barely use AI
- One-off pieces of work
If that is you, a simpler tool will serve you better, and we would rather say so now.
What you need to run it
Planned: run by us in your cloud, or on your own server
The AI Hive is in development and tested in our own simulation. These options are planned and not offered yet; for a future pilot, where it runs would be agreed in the scoping workshop. Your data stays in your infrastructure, and fact extraction uses a small model on your own server.
Run by us in your cloud
Our recommended first step. The plan is that we operate The AI Hive inside your own cloud account.
Planned: not offered yet
Self-hosted on your premises
The plan is that you run it yourselves with Docker Compose. A customer install package is not offered yet. An air-gapped bundle is on the roadmap.
Docker Compose: planned, not offered yet
Air-gapped bundle: roadmap
Hosted by us
We run it for you. This option is not available yet.
Roadmap
From your side we ask for a sponsor who can decide, one or two teams who use AI regularly, access to the systems you want connected, and a named person to approve promotions. Deployment options and what we ask of design partners
How a pilot would work
- 01Scope. A scoping workshop agrees your memory scopes, who approves what, the success metrics, the systems and AI apps to connect, and the deployment option.
- 02Deploy and connect. We install The AI Hive, create your organisation structure, people, roles and grants, and connect the agreed systems and AI apps.
- 03Run with a first group. A first team uses shared memory in daily work. Approvals, promotion and the audit log are exercised for real.
- 04Review. We review the agreed metrics together and decide on next steps. Stopping is a valid outcome.
The plan is agreed per pilot. Cost is scoped per pilot, so talk to us. Pilot programme
Ready today / next
What is built, and what is not
The full lists are on the roadmap page. Nothing here is a promise of a date.
Ready today
Available now
- Seven memory scopes with promotion, inheritance and synthesis
- Context pack, hybrid search and versioning
- Governed writes, client walls and the audit log
- Claude Code and Claude Desktop
In testing
- Multi-vendor AI access over MCP and REST
- Spaces registry and space mapping
- Agents working together in rooms
- Read-only connectors: Jira Cloud, PostgreSQL views, IMAP mailboxes, Git repository addresses (tested on test copies, not yet on live accounts)
- The AI Hive on your phone
- Microsoft 365, Google Drive and GitHub connectors
Built and in testing. Anything that does not pass testing will be removed.
Next
Roadmap
- SSO with Microsoft and Google, and SCIM
- Customer-managed keys (BYOK)
- PII detection and masking
- Hash-chained, exportable audit
- Retention policies per scope
- Helm chart and air-gapped bundle
- Hosted option
- Independent penetration test and SOC 2 readiness work
In development
Honest status
The AI Hive is in development, tested in our own simulation. Features marked In testing are built and being validated; anything that does not pass testing will be removed. We are looking for a small number of design partners. No outside team uses it yet. This is not a self-serve product, and the roadmap is published openly so you can see what is built and what is not.
Memory is not a feature. It is the foundation.
See how The AI Hive could work in your organisation
We are looking for a small number of design partners for a first pilot. No outside team uses it yet. Tell us about your teams and the AI tools they use, and we will scope a pilot together.