Personal AI Infrastructure
UniTaker turns your devices into a coordinated assistant network. It speaks your channels, runs your tools, and remembers what matters — all while you keep full control.
Channels
10+
Agents
Swarm-ready
Tools
MCP-native
Deployment
Local or Edge
Incoming
“Summarize today’s tasks and prep a brief for my 5pm call.”
UniTaker
Routed to Briefing Agent → Calendar MCP → Notes Vault
Response
“Brief ready. I’ll send a 1-page summary to Slack and store it in your meeting vault.”
Trace
Policy: Local-only · Tools: Calendar, Notes · Agents: Briefing, Memory
Why UniTaker
OpenClaw proved personal AI could be magical. UniTaker goes further: it is the future-ready gateway that scales from a single device to a federated mesh of assistants.
UniTaker adopts the best OpenClaw concepts while adding swarm orchestration, federation, and MCP-first tooling.
Your data lives on your hardware. Policies decide what leaves the device, not a SaaS contract.
Plugins, skills, and channel adapters let you evolve your assistant without rewrites.
Built as an open, modular system with clear separation between gateway, agents, and tools.
Built for control
UniTaker keeps your assistant portable, auditable, and connected across devices without giving up privacy.
View all feature pagesThe Gateway is UniTaker's brain. It decides where requests go, how tools are used, and which policies apply. Instead of scattering logic across bots, the Gateway centralizes routing, auditability, and execution rules.
UniTaker's swarm system lets you spin up focused agents for research, planning, outreach, or analysis. Handoffs are explicit, memory is shared where needed, and workflows remain transparent.
UniTaker's federation layer links nodes you control. Keep sensitive workloads on local hardware while still coordinating across devices, offices, or regions.
UniTaker is built to integrate MCP from day one. That means tool execution is structured, auditable, and secure — no more brittle scripts or ad-hoc connectors.
Security isn't bolted on. UniTaker ships with encryption, secrets vaults, and audit trails so every action can be verified and reviewed.
Skills define how UniTaker behaves in specific situations. Combine prompts, tools, and policies into reusable building blocks that evolve over time.
Traceable steps, shared memory, and dependable outputs across every channel.
Step 1
Ingest requests from any channel and keep the full conversational context intact.
Step 2
The gateway evaluates policies, selects tools, and assigns the right agents.
Step 3
Agents collaborate, call MCP tools, and update local memory stores.
Step 4
Results return to the original channel with a full action trace.
Channel adapters plug into your existing workflows. Add more with extensions without rebuilding your assistant.
Live diagnostics, throttling, and rate limits keep everything stable even when multiple agents are active.
Open source
Run UniTaker locally, keep full control, and extend it with plugins and skills as your needs grow.