agentmesh-bus

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agentmesh is the event bus built for production AI agents. Kafka moves bytes. AgentMesh moves meaning — every event carries tenant, trace, causality chain, and publisher type.

Install

pip install agentmesh-py                    # zero-dep core
pip install "agentmesh-py[redis]"           # Redis Streams transport
pip install "agentmesh-py[kafka]"           # Kafka transport
pip install "agentmesh-py[all]"             # everything

Quickstart

import asyncio
from agentmesh import AgentMesh, AgentEvent

async def main():
    mesh = AgentMesh()
    await mesh.start()

    @mesh.subscribe("order.*")
    async def handle(e: AgentEvent) -> None:
        print(f"[{e.tenant_id}] {e.event_type}: {e.data}")

    await mesh.publish("order.created",
        data={"order_id": "ORD-001", "amount": 299.99},
        publisher_id="billing-agent",
        session_id="sess-001", run_id="run-001",
        tenant_id="acme",
    )
    await asyncio.sleep(0.1)
    await mesh.close()

asyncio.run(main())

Why AgentMesh

Features

• NATS wildcards — order.*, *.failed, acme:>, >
• Consumer groups — group="workers", one handler per event
• Full replay — async for e in mesh.replay("order.created")
• Human publishers — publisher_type="human" is first-class
• Request/reply — await mesh.request(...) for HITL flows
• Dead letter queue — per-topic, configurable max_retries
• Idempotency — event_id dedup (default 24h window)
• Server-side filters — filter={"data.amount": {"$gt": 1000}}
• Topic pause/resume — queue events, flush on resume
• OTel native — spans + metrics, Grafana/Datadog/Honeycomb

Stack

agentmesh       → event bus        connects agents, humans, systems
agentplane      → control plane    runtime policy, versioning, escalation
agenthooks      → extensibility    hookpoints, customer hooks
AgentGuard      → safety           injection, PII, jailbreak
agentregistry   → discovery        publish, version, deploy agents
agenteval       → quality          golden, adversarial, policy tests

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Apache 2.0 · Docs · PyPI

pip install agentmesh-py