AI That Works
So You Don't Have To.
Why spend $60K/yr on a hire when an AI team costs $20/mo? OpenFleet agents own tasks end-to-end — they decompose, execute, verify quality, and ship real work while you sleep.
Hi Noel,
Here's your competitor analysis. The full report has been saved to your Google Drive.
Not another copilot.
An actual employee.
Pulse System
Cron-based heartbeat verifies agent identity, assigns queued tasks, and dispatches autonomous execution. Self-healing by default.
Smart Routing
Scoring engine matches tasks to agents by role, skills, and critical path. Dependency-aware with automatic unblocking.
Quality Gates
LLM-scored verification against acceptance criteria. Outputs below threshold auto-retry with feedback injection. No silent failures.
Desktop Relay
Turn-by-turn proxy to your machine. Agents read files, run shell commands, and browse — all executed locally via Electron bridge.
141 MCP Skills
Native Model Context Protocol integrations. Slack, GitHub, Google Drive, Notion, and 137 more. One-click install, zero config.
Any LLM
Anthropic, OpenAI, Gemini, Mistral, DeepSeek, xAI, Kimi — or bring Ollama / LM Studio for fully local, $0 execution.
Your first hire should be a fleet
60 seconds to deploy. No interviews, no onboarding, no PTO.
Bring your own model
Connect any LLM — Anthropic, OpenAI, Gemini, or run fully local with Ollama. Your keys, your data, your costs.
Build your team
Create agents with roles, skills, and real email inboxes. Assign work via chat, SDK, or REST API — they get routed to the right agent automatically.
They deliver
Agents decompose complex work into subtasks, execute autonomously, verify their own output against your standards, and iterate until it's done. Not started — done.
Replace headcount, not augment it
Most AI tools make you more productive. OpenFleet IS the productivity. MIT licensed, self-host or cloud, no vendor lock-in.
Deploy Your First Team