dhyansraj/mcp-mesh

MCPcommunity
dhyansrajMITUpdated 3mo agoGitHub

Enterprise-grade distributed AI agent framework | Develop → Deploy → Observe | K8s-native | Dynamic DI | Auto-failover | Multi-LLM | Python + Java + TypeScript | MCP + A2A + REST

The future of AI is not one large model, but many specialized agents working together. Python Quick Start → | Java Quick Start → | TypeScript Quick Start → You write the agent logic. The mesh discovers, connects, heals, and traces — across languages, machines, and clouds. Stop fighting infrastructure. Start building intelligence. Zero Boilerplate: Simple decorators/functions replace hundreds of…

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3mo agoLast update
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Authordhyansraj
LicenseMIT
Sourcegithub
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IndexedJun 13, 2026

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The future of AI is not one large model, but many specialized agents working together. Python Quick Start → | Java Quick Start → | TypeScript Quick Start → You write the agent logic. The mesh discovers, connects, heals, and traces — across languages, machines, and clouds. Stop fighting infrastructure. Start building intelligence. Zero Boilerplate: Simple decorators/functions replace hundreds of lines of networking code Python, Java & TypeScript: Write MCP servers as simple functions in your…

Keywords
a2aa2a-protocolagentic-aiai-agentsai-agents-frameworkdistributed-aijavakubernetesmcpmcp-meshmodelcontextprotocolpythontypescript
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