llm-use
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llm-use-agentic
llm-use-agentic PublicFully agentic LLM orchestrator with autonomous decision-making. This agentic system self-discovers models, learns from usage, and adapts routing strategies. Save 67% on API costs through intelligen…
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Blender-MCP-Server
Blender-MCP-Server PublicMCP server addon for Blender - Control Blender via AI agents through 51 powerful tools. Made to be used with PolyMCP for intelligent tool orchestration. Features thread-safe execution, auto-depende…
Python 6
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IoT-Edge-MCP-Server
IoT-Edge-MCP-Server PublicMCP server for Industrial IoT, SCADA and PLC systems. Unifies MQTT sensors, Modbus devices and industrial equipment into a single AI-orchestrable API. Features real-time monitoring, alarms, time-se…
Repositories
- Polymcp Public
Polymcp provides a simple and efficient way to interact with MCP servers using custom agents
llm-use/Polymcp’s past year of commit activity - IoT-Edge-MCP-Server Public
MCP server for Industrial IoT, SCADA and PLC systems. Unifies MQTT sensors, Modbus devices and industrial equipment into a single AI-orchestrable API. Features real-time monitoring, alarms, time-series storage and actuator control.
llm-use/IoT-Edge-MCP-Server’s past year of commit activity - Blender-MCP-Server Public
MCP server addon for Blender - Control Blender via AI agents through 51 powerful tools. Made to be used with PolyMCP for intelligent tool orchestration. Features thread-safe execution, auto-dependency installation, and complete 3D workflow automation.
llm-use/Blender-MCP-Server’s past year of commit activity - llm-use-agentic Public
Fully agentic LLM orchestrator with autonomous decision-making. This agentic system self-discovers models, learns from usage, and adapts routing strategies. Save 67% on API costs through intelligent agentic behavior. Production-ready with monitoring and self-healing.
llm-use/llm-use-agentic’s past year of commit activity - llm-use Public
Intelligent routing automatically selects the optimal model (GPT-4/Claude/Llama) for each prompt based on complexity. Production-ready with streaming, caching, and A/B testing.
llm-use/llm-use’s past year of commit activity
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