From prompt to production
Agents that assemble themselves.
Describe the outcome. WASPID plans the steps, executes across tools, and when a piece breaks, the Loop Engineer rebuilds it — block by block — until the workflow stands on its own.
Install the CLI in one line:
Requires Node.js 18+ · works on macOS, Linux & Windows. Then run waspid login to connect your account.
One Ecosystem
Agents in motion, everywhere at once.
Every WASPID agent is always working — moving between tasks, tools, and workspaces on one connected fleet.
See it run
WASPID in motion.
An always-on look at the AI workforce assembling, executing, and self-healing — no play button, no pausing, just the loop.
The Agentic Operating System
You define outcomes. The OS runs the mission.
You never automate tasks — you define outcomes. WASPID creates the execution plan, assigns specialist agents, coordinates them in parallel, verifies every output, requests approval when it matters, and learns from every run — across your codebase, your APIs, and your infrastructure.
Agentic Command Fabric Live
Hover over any node — every one of its connections lights up
Live links
39,408
Signals routed
0
Governance
HITL
Specialist agents · spawned on demand
Human-in-the-Loop
Agents know when to ask, escalate, or stop. Every approval is versioned and auditable — you stay in command.
Layered memory
Conversation, project, organization, and agent memory. Executions are remembered; failures become lessons.
Universal tools
CLI, Git, REST, GraphQL, OpenAPI, MCP, databases, webhooks — every connector permission-controlled.
Self-improving
Every run feeds the learning engine. Successful missions become reusable templates automatically.
One head, every model
Plan. Build. Review. Ship.
One orchestrator routes each stage to whichever connected model fits it best — never a model you haven't actually connected. Build always runs start to finish on one model (a tool-calling run can't safely hop providers mid-stream); Review deliberately uses a different one for a real second opinion.
Plan
A reasoning-first model turns your prompt into a short, concrete plan — no code yet.
Build
The unified runtime executes the plan for real — reads, edits, and runs commands in your workspace.
Review
A genuinely different model — not the author — checks the diff for risks or missed requirements.
Ship
A reviewed diff, a suggested commit message — you decide when it lands. Nothing auto-commits.
waspid ship "add rate limiting to the API"Built for Enterprise Scale
Architected for security, resilience, and speed.
About WASPID
Six letters. One operating system.
WASPID isn't just a name — every letter is a layer of the enterprise AI workforce OS, from the humans it augments to the moment it goes live.
Workforce
A coordinated team of AI workers, not a single bot — organized by operational lane.
AI
Frontier models plan, reason, and execute across your tools with human-grade judgment.
System
Shared state, memory, and orchestration bind every agent into one reliable system.
Platform
One control plane across CLI, VS Code, and the cloud — build once, run anywhere.
Intelligence
Observability, self-healing loops, and cost tracking baked into every execution.
Deployment
Ship agents to production with RBAC, integrations, and enterprise-grade guardrails.
Observe the Autonomy
How WASPID handles a failing build in real-time.
Loop Engineer Log
Step 1 Error in component 'Header.tsx': prop 'user' is undefined.
Step 2 Loop Specialist identified missing context provider.
Step 3 Generating patch for './app.tsx'… applied ✓
Self-Healing Infrastructure
When an agent hits a roadblock it doesn't just stop. WASPID spawns a Loop Specialist — an agent with a dedicated context window focused solely on debugging the specific error, resolving it, and resuming the original flow.
Learn about Loop EngineeringTraditional Agents vs. WASPID
A different category of infrastructure.
One Engine, Three Interfaces
WASPID meets your developers wherever they work best.
Requires Node.js 18+ · works on macOS, Linux & Windows. Then run waspid login to connect your account.
Our Vision
What we build.
Design Software
Agents that architect and build applications.
Generate Firmware
Embedded code for edge devices and controllers.
Engineer Hardware
AI-assisted design of physical systems.
Coordinate Robotics
Agent teams orchestrating robotic fleets.
Control Machines
Intelligent control of physical machines via one AI OS.
One unified operating system where autonomous agents collaborate across cloud, edge, enterprise applications, and robotic systems.
Multi-Agent System Vision · 5 live · 4 building
Build specialized AI teams for every operational lane.
The platform is intentionally modular so businesses can compose AI workers by function, connect them to systems, and scale them into reusable enterprise workflows. These categories are not isolated bots — they share orchestration, observability, integrations, execution state, and deployment infrastructure.
AI Agents AI Callers AI Support Agents AI Workflow Agents AI Sales Teams AI Browser Operators AI Operations Systems AI Monitoring Systems AI Orchestration Systems