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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.
Coordinate multiple agents with presence, resource locks, and durable repository messaging.
Route messages between agents via Redis streams with send, receive, and ping tools.
Set up portable agents aligned with your codebase, workflows, and engineering standards.
Access external agent memory, reasoning, and safety capabilities per call.
Orchestrate multi-model agents, run workflows, and validate outputs deterministically.