What is Agent Mesh? Distributed coordination in AgentPlat

Independent runtimes create a coordination problem

Several agent roles in one process can share a local control loop. Independent runtimes may instead observe different state, stop at different times or receive messages in different orders. They need a way to interpret peer evidence under explicit scope.

The Agent Mesh overview places authenticated exchange, membership and causal synchronization in this layer. It does not require every local task to consult a central scheduler, but that does not remove application policy or authorization.

Evaluate local assignment before adding peers

The distributed coordination guide starts with a deterministic local collective and then introduces a multi-process example. That order separates task dependency behavior from transport and persistence concerns.

For an illustrative research application, first confirm that evidence gathering precedes dependent drafting locally. Then determine whether independent deployment, failure isolation or peer-owned state actually requires Mesh. Adding peers before clarifying the local work contract makes failures harder to interpret.

Read a peer message as evidence within a protocol

A receiving runtime needs to validate the sender, message scope, predecessor context and applicable membership state. It can then use admitted evidence in the relevant coordination process.

The protocol guide and synchronization guide explain these checks. A message reporting an available specialist is not itself a lease for that specialist or permission for it to write to an external system.

Know what the multi-process example demonstrates

The documented example uses four local processes and produces evidence about signed messages, duplicate handling and restart recovery. It uses local credentials and ephemeral keys.

Use it to inspect the stated behaviors and failure boundaries. It does not establish global discovery, production key custody, exactly-once delivery or performance at a larger population. This article describes the documentation; it does not report a fresh execution of that example.

Define your deployment boundary

• Identify who operates each peer and controls its credentials.
• Choose transport and persistence adapters for the selected version.
• Define enrollment, retirement and key-rotation procedures.
• Specify what happens when required peer evidence is missing.
• Keep protected effects behind current local checks.

A useful Mesh evaluation measures whether these boundaries preserve your intended work under the tested failures. A growing peer count alone does not demonstrate useful coordination. Link each reported result to its topology, fault profile and retained evidence.