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ToolProduction ReadyA2AMCP
muxi
by muxi-ai
Open-source infra for deploying and orchestrating production AI agents
Updated Aug 5, 2026
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Overview
Deploys and manages agent workloads for production multi-agent systems. Provides an agent server and orchestration primitives to run, route, and scale agent interactions, with built-in memory and RAG support. Distinctive features include self-hosted deployment focus and integrations for common LLM providers and orchestration patterns.
Why It Matters
As agents move from demos to live systems, running and coordinating them reliably becomes essential for assessing real-world behavior and trust. Muxi gives teams a repeatable stack for deploying agents so you can record interactions, observe failures, and collect provenance that feed reputation and evaluation pipelines. That operational surface is a prerequisite for meaningful multi-agent trust and agent-to-agent evaluation. Linking MCP-based workflows supports robust evaluation and context sharing similar to Model Context Protocol patterns—see Model Context Protocol (MCP) Pattern.
Best For
Teams deploying multi-agent applications who need a self-hosted server, orchestration primitives, and integration with existing LLM providers.
Applications
- Deploy and scale self-hosted agent servers for production workloads
- Capture and replay agent interactions to support evaluation and reputation tracking
- Route tasks between specialist agents and integrate RAG/memory in agent pipelines
Works With
openaianthropiclangchain
Topics
a2aagent-frameworkagent-orchestrationagent-serveragentic-aiaiai-agentsai-deploymentai-infrastructureai-memory+10 more
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Keywords
multi-agent orchestrationagent-to-agent evaluationmulti-agent trust