This project is a C++ mini–AI infrastructure simulation designed to demonstrate core object-oriented and systems-level design patterns commonly used in AI infrastructure, compute backends, and large-scale frameworks.
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- C++
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ai-infrastructure-development
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Provider-agnostic MCP control plane for managing connections, routing requests, and policy enforcement across AI vendors.
rest-api mcp developer-tools tauri local-first ai-orchestration llm-routing mcp-model-context-protocol ai-infrastructure-development
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- Python
IntentMesh is an open protocol and reference architecture for structured negotiation between autonomous software agents.
python machine-learning ai multi-agent-systems autonomous-agents ai-agents ai-automation protocol-design ai-agents-framework ai-infrastructure agent-to-agent agent-economy ai-coordination ai-infrastructure-development
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ai-infrastructure-development, ai-application-development etc
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- Cuda
Secure Agent Governed Execution OS
security ai sandbox compliance observability governance risk-management policy-engine devsecops ai-agents zero-trust soc2 least-privilege endpoint-security audit-logging enterprise-ai agent-runtime aiinfrastructure ai-infrastructure-development
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