Agents still execute in isolation
Most agent systems are still blind mid-task. They use tools, but they do not share live cognition while work is still in motion.
Multi Agent Cognition · Protocols + systems
Multi Agent Cognition is building the missing stack for multi-agent execution: real-time coordination, benchmarks that measure judgment under uncertainty, and persistent systems with durable context.
Why it exists
Most agent systems are still blind mid-task. They use tools, but they do not share live cognition while work is still in motion.
If all context is handed to the model and nothing compounds over time, you are not measuring judgment under uncertainty.
Long-horizon systems need durable memory, structured reconstruction, and cleaner specialization than one overloaded context window can provide.
What the stack covers
The work is organized around one problem: agents need better coordination, better evaluation, and better long-horizon execution than current tool-only workflows provide.
MACP gives active agents a shared cognitive bus for ownership, findings, priority, and in-loop coordination.
Freight Agency Bench measures planning, adaptation, and information foraging in a live environment where mistakes compound.
Pulse extends the stack into persistent coordination, heartbeat-driven execution, and reconstructed context that does not forget.
The goal is a coherent stack: protocol, evaluation, and execution working together instead of as disconnected demos.
MACP turns isolated agent work into shared situational awareness.
Freight Agency Bench measures whether an agent can reason when the environment keeps changing.
Pulse extends that into persistent orchestration, memory reconstruction, and job routing.
How it fits together
Where it applies
Current surface
MACP Shared cognition protocol
Freight Agency Bench Long-horizon benchmark
Pulse Persistent agent harness
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Multi Agent Cognition
The aim is not one more agent demo. It is a coherent operating layer for agents that need to coordinate, remember, and adapt in real environments.