Building Orchestration · Agent Runtime

AgentOS

The runtime layer that coordinates all Agnt Labs products. A shared memory, tool-calling, and task-routing engine that lets agents work across products without manual handoffs.

build 55% Complete · Target Q3 2026 map View Roadmap

The brain behind
the stack.

AgentOS is the orchestration layer that ties every Agnt Labs product together. It provides shared memory, tool-calling interfaces, and intelligent task routing — so agents across Flywheel, DataSpec, Relay, and Lens can coordinate without manual handoffs or duplicated logic.

Progress
55%
Target Q3 2026
Architecture
Multi-agent
Distributed coordination
Memory
Shared
Cross-product state
Routing
Intelligent
Context-aware task dispatch

What AgentOS powers.

From cross-product coordination to graceful degradation — AgentOS is the runtime that makes the entire agent stack work as one.

device_hub
Cross-product coordination

Flywheel agents talk to DataSpec agents. Lens queries feed Relay workflows. AgentOS handles the handoffs so products work as one system.

memory
Shared agent memory

Every agent writes to and reads from a unified memory layer. Context learned in one product is instantly available to all others.

route
Intelligent task routing

AgentOS analyzes incoming tasks and routes them to the best-suited agent based on capability, load, and context — automatically.

build
Tool-calling framework

A standardized interface for agents to invoke tools, APIs, and services. Build once, use across every product in the stack.

monitoring
Execution monitoring

Real-time visibility into every agent action, decision, and handoff. Full audit trails for debugging and compliance.

shield
Graceful degradation

If one agent fails, AgentOS reroutes work and maintains system stability. No single point of failure in the agent mesh.

How AgentOS
works.

A mesh-based runtime architecture that connects agents, shares memory, and routes tasks intelligently across the entire stack.

01
Agent mesh architecture

AgentOS connects agents in a mesh, not a hierarchy. Any agent can communicate with any other, enabling emergent coordination patterns.

02
Unified memory bus

A shared memory layer that stores context, learnings, and state. Agents read and write to the bus, building collective intelligence over time.

03
Capability-based routing

Tasks aren't assigned — they're matched. AgentOS routes work to agents based on declared capabilities and real-time performance.

04
Observable by default

Every agent action is logged, traced, and queryable. Teams can inspect agent reasoning, replay decisions, and audit the full execution chain.

The runtime is
coming soon.

AgentOS is 55% complete with a target launch in Q3 2026. Apply for Flywheel beta to get early access to the full stack.

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