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Results for “ai customer support”

28 tools in the directory · Updated

“ai customer support”Open sourceWays to use: Command lineShowing 28 tools
  • NVIDIA Run:aiby NVIDIAOpen source GPU scheduling and workload governance for shared Kubernetes AI clustersFree
  • Evidently AIby Evidently AIYC S21Open-source AI evaluation and observability for LLMs and ML modelsUnknown
  • Unsloth AIby Unsloth AIYC S24Open-source framework for fine-tuning and reinforcement learning of LLMsFreemium
  • llamafileby Mozilla.aiRun local language models from portable executable filesFree
  • encoderfileby Mozilla.aiPackage embedding and classification models as portable executablesFree
  • Klavis MCPby Klavis AIYC X25Connect agents to application tools through open-source MCP integrationsFree
  • Inkeepby InkeepYC W23Build customer-experience agents in a visual editor or TypeScriptContact sales
  • mcp-useby ManufactYC S25Build MCP servers and interactive apps for AI clientsFree
  • Cognizant Neuro Sanby CognizantBuild and coordinate networks of specialized AI agentsFree
  • mcpdby Mozilla.aiManage MCP tool servers through a reproducible runtimeFree
  • cqby Mozilla.aiShare reviewed operational knowledge across AI agentsFree
  • Arthur Engineby ArthurAIRun AI evaluations and experiments in your own environmentFree
  • Unity ML-Agentsby UnityTrain intelligent agents inside Unity games and simulationsFree
  • Repomixby RepomixPackage repository context for an AI assistantFree
  • MLflowby MLflowOpen-source platform for tracing, evaluating, and managing AI applications and machine-learning models.Free
  • LMQLby LMQLProgram language-model prompts with types and constraintsUnknown
  • Deep Agentsby LangChainOpen-source agent harness for long-running, multi-step tasksFree
  • LangGraphby LangChainOpen-source Python library for orchestrating stateful, long-running AI agentsFree
  • Chromaby ChromaOpen-source search infrastructure for AI apps, with the managed Cloud service being wound downFreemium
  • TensorFlow.jsby GoogleJavaScript library for running, retraining and building machine learning models in the browser or Node.jsFree
  • Bloomby AnthropicGenerate behavioral evaluation suites to test how AI models act across varied scenarios.Free
  • ZenMLby ZenmlRun reproducible AI pipelines and agents on your chosen infrastructureFreemium
  • Flowerby FlowerYC W23Build federated AI systems across distributed datasetsFreemium
  • Kitaruby ZenmlFind gaps in agent evaluations and replay proposed fixesFreemium
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