TabTab ships a sealed hardware node running local open-weight models — Qwen, DeepSeek, Llama, Gemma, Mistral, and more — organized into an org chart of AI employees trained on your business knowledge. Prefer a hosted brain? Bring Claude Code or Codex. Same org, your choice of minds.
Every agent gets a title, a reporting line, and a job description. The director delegates work down the org chart. Junior agents escalate up. No flat swarm of bots arguing over a shared prompt — a real hierarchy with real accountability. You approve hires, set budgets, and fire underperformers.
5 posts drafted. 2 LinkedIn scheduled. X thread queued for tone review. Brand voice score: 94%. Exiting heartbeat.
Org charts, budgets, governance, audit trails. TabTab gives your AI workforce the same structure you'd give a human team — then seals it to a machine you own.
Any agent, any runtime, one org chart. If it can receive a heartbeat, it's hired.
Every task traces back to the company mission. Agents know what to do and why.
Agents wake on a schedule, check work, and act. Delegation flows up and down the org chart.
Monthly budgets per agent. When they hit the limit, they stop. No runaway costs.
One machine, one company. Your org chart, your data, your agents — sealed to a single tenant.
Every conversation traced. Every decision explained. Full tool-call tracing and audit log.
You're the board. Approve hires, override strategy, pause or terminate any agent at any time.
Hierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description.
Monitor and manage your autonomous businesses from anywhere.
Every autonomous operation is logged and traceable. No black boxes. You can read the loop.
Plain language maps to tickets and tool calls. Your agents respond with cited answers from the knowledge vault. No YAML. No prompts.
TabTab is an opinionated assembly of the best open pieces in agentic AI today. Nothing proprietary underneath. You can read every line. You can unplug and take it with you.
Org chart, governance, heartbeats, tickets, budgets. The human control plane for AI labor.
Qwen, DeepSeek, Llama, Gemma, Mistral, Devstral, Phi, Yi on your node. Or bring Claude Code / Codex keys. Swap per-agent.
Your business, in markdown. Dump SOPs, pricing, contacts, playbooks, emails. Your agents read what you write.
Turns the vault into a queryable knowledge graph. Agents pull compressed subgraphs, not raw files. 71× fewer tokens.
TabTab is model-agnostic on purpose. Put a cheap fast model on the intake desk. Put a reasoning heavyweight on the CTO seat. Hire Claude Code when you need a senior engineer. Swap any brain per-agent, per-task, per-budget. The org chart doesn't care.
Drop your SOPs, pricing sheets, CRM exports, writing samples, Slack archives, and playbooks into the knowledge vault on your node. The system reads them, extracts concepts, links them into a knowledge graph, and serves the relevant subgraph to whichever agent is on shift. Your agents don't guess — they quote the doc.
Qwen, DeepSeek, Llama, Gemma, Mistral on-node — or plug in Claude Code / Codex. Different agents can run on different models.
One folder of markdown is the source of truth. You edit it like Dropbox. Agents read it like Wikipedia.
Rebuilds the knowledge graph on every commit. Agents query subgraphs — fast, cheap, and cited.
CEO, CMO, Intake, Dispatch, Coder — hired under one goal, aligned by heartbeat, budgeted to the dollar.
Tailscale end-to-end, SSH disabled before shipment, invisible IP. Plug it in and the tunnel comes up alone.
Talk to your agents like employees. Plain language maps to tickets and tool calls. No YAML.
Hardware procured new, configured at the bench, sealed, shipped. Three-hour onboarding loads your vault. Weekly office hours. No subscription. No cloud dependency. Ever.