mcp-prompt-optimizer

Professional cloud-based MCP server for AI-powered prompt optimization with intelligent context detection, Bayesian optimization, AG-UI real-time optimization, template auto-save, optimization insights, personal model configuration via WebUI, team collabo
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mcpmcp-serverpromptoptimizationaiclaudeanthropicopenroutermodel-configurationpersonal-modelscursorwindsurfclineprofessionalsubscriptioncloud-basedcontext-detectiontemplatestemplate-auto-saveoptimization-insightsanalyticsteam-collaborationenterprise-gradeintelligent-routingai-contextapi-key-managementstartup-validationcachingrobust-error-handlingcli-commandsprofessional-toolingnetwork-resilienceproduction-readydevelopment-modefallback-supportcross-platformwindowsmacoslinuxarm64bayesian-optimizationag-ui-real-timestreaming-optimizationwebsocket-supportperformance-optimizationadvanced-analyticsintelligent-contextai-aware-rulesparameter-tuningoptimization-strategies

dspy.ts

DSPy.ts 2.1 - 100% DSPy Python compliant TypeScript framework with multi-agent orchestration, self-learning capabilities, MIPROv2 optimizer, and comprehensive module library. Powered by AgentDB, ReasoningBank, and Swarm architecture.
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dspydspy.tsagentdbreasoning-bankswarmmulti-agentai-agentsllmlanguage-modelself-learningmachine-learningprompt-optimizationmipromiprov2chain-of-thoughtreactreasoningonnxpytorchtypescriptai-frameworkdeclarativepipelineoptimizationvector-databasememory-systemcausal-reasoningreflexionbayesian-optimizationretrieveragprogram-of-thoughtrefinemajority-votingmetrics