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Build and orchestrate multi-agent AI workflows connected to real-world systems.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "solace-agent-mesh" yet — see the docs or source repo.
Using solace-agent-mesh, design an event-driven multi-agent customer support system with four agents: intent detection, knowledge base retrieval, ticket creation, and human escalation. Explain the event flow and retry handling.
A multi-agent support architecture describing agent roles, event triggers, and failure-handling logic.
Plan an order-processing workflow with solace-agent-mesh that connects email, CRM, inventory, and notification services. When a new order event arrives, automatically validate stock, update status, and send notifications.
A cross-system automation design that clearly defines event sources, integrations, and execution steps.
Use solace-agent-mesh to design a research assistant system where four agents—source collection, summarization, fact-checking, and report assembly—collaborate on multi-step research tasks. Provide the orchestration approach.
A research-oriented multi-agent collaboration plan showing task decomposition, agent coordination, and final output flow.
Register, discover, and delegate tasks across agents via MCP.
Enable topic-based inter-agent messaging, question routing, and collaborative responses via RabbitMQ.
Set up portable agents aligned with your codebase, workflows, and engineering standards.
Orchestrate multi-agent workflows with DAG execution, conflict handling, and event tracking.
Coordinate AI agents with atomic state storage and always-current shared context
Connect AI coding agents across machines for peer collaboration and shared state.