HiveAI
A private, agentic AI platform for real work.
An agent that runs on your hardware, reasons in a loop, and puts every machine you own to work. Scroll — the session log beside the core is it working.
Watch it think.
Then watch it act.
HiveAI streams the model's thinking token by token. The moment it decides it needs a tool, the call is executed for real — shell, files, database, browser — and the result is fed straight back in. Reason, act, observe. Round after round, until the job is actually done.
- Live token stream — thinking and answers render as they arrive
- Tool calls assemble mid-stream and run the instant they're complete
- Results go back into context — the agent sees what happened
- Sub-agents can be dispatched to run whole jobs in the background
One agent.
Every machine you own.
Every tool call is qualified to a specific machine. HiveAI routes it there over the machine's own daemon API — or plain SSH when there isn't one — and streams the result back. Machines report their GPU, VRAM and Docker status by heartbeat; add a node and the agent simply has more hands.
- Daemon API or SSH — its choice
- GPU & VRAM aware placement
- Local GGUF or cloud models, with fallback
- Offline nodes tolerated, never fatal
Hover a machine to inspect it · click to dispatch
Not a chatbot.
A workforce.
These aren't plugins bolted onto a chat window — they're the agent's hands. The same catalog is available to every machine in the hive, from a GPU tower to a Raspberry Pi.
Every action gated.
Every action logged.
Approval mode holds each tool call for an explicit allow or deny before anything executes. A full audit trail records every command, connection, model start and settings change. API keys are stored encrypted; SSH passwords are never persisted. It's your infrastructure — HiveAI treats it that way.
- Per-call approval gates
- Audit log across every category
- Allowlisted APIs and file paths
- Everything persists locally
A native Windows workspace.
Dockable panels you arrange your way — the agent, your models, terminals, Docker, Git, workflows and the audit trail, all in one window.
The agent, front and centre
A chat surface where the model’s thinking streams token by token and tool calls run the moment they are complete. Pick the model per conversation — local GGUF or a hosted provider.
Your machines, in one window
Terminals, Docker, Git and diff review, SSH sessions and workspace search — dockable panels you arrange your way, each one aware of which cluster machine it is talking to.
Data and documents
A database explorer for the schemas and queries the agent works with, and a document hub for the files it searches, summarises, and edits.
Security you can read
A security panel for approval gates and allowlists, and an audit log that records every command, connection, model start, and settings change.
HiveAI is in active development. Screenshots of the real app will be published here when it ships.
HiveAI is on the way.
Part of Fresard Technology Holdings LLC — a studio building privacy-first software.
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