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4 रिपॉजिटरी

Awesome GitHub RepositoriesAI Services

Managed services and optimization utilities that enhance the functionality of external AI providers.

Explore 4 awesome GitHub repositories matching artificial intelligence & ml · AI Services. Refine with filters or upvote what's useful.

Awesome AI Services GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • kilo-org/kilocodeKilo-Org का अवतार

    Kilo-Org/kilocode

    15,616GitHub पर देखें↗

    Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments. The platform distinguishes itself through its federated task management and policy-based access control, which

    Automatically improves the clarity and specificity of user requests before submission to ensure higher quality model outputs.

    TypeScriptaiai-ageai-coding
    GitHub पर देखें↗15,616
  • ardanlabs/gotrainingardanlabs का अवतार

    ardanlabs/gotraining

    12,212GitHub पर देखें↗

    This repository provides curated learning paths, structured courseware, and technical materials for mastering Go programming, container orchestration, and software architecture. It serves as a comprehensive educational resource for systems programming, focusing on language mechanics, memory safety, and high-performance backend design. The project distinguishes itself through a multi-modal instructional design that combines instructor-led workshops, project-based curricula, and competency-based certifications. It offers specialized guidance on building production-grade AI infrastructure, inclu

    Teaches the engineering and coordination of high-concurrency services for managing AI model orchestration.

    Go
    GitHub पर देखें↗12,212
  • agentskills/agentskillsagentskills का अवतार

    agentskills/agentskills

    10,303GitHub पर देखें↗

    Agent Skills is a framework for bundling executable scripts and metadata to extend the capabilities and tool-use of language model agents. It provides a standardized directory structure for packaging specialized workflows, technical instructions, and portable agent capabilities for distribution across different AI platforms. The project features a tool optimization suite used to refine skill triggers and evaluate the reliability of agent-activated capabilities. It includes a context-aware knowledge manager that organizes technical references into a hierarchy, loading them on demand to reduce

    Refines skill descriptions and metadata to ensure language models reliably trigger the correct tool for user requests.

    Pythonagent-skills
    GitHub पर देखें↗10,303
  • supabase/realtimesupabase का अवतार

    supabase/realtime

    7,488GitHub पर देखें↗

    Realtime is a real-time data distribution and synchronization engine that enables applications to stream database changes and coordinate state between clients. It functions as a synchronization layer that monitors database write-ahead logs to provide change data capture and pushes updates to authorized clients via WebSockets. The project features a real-time presence server for tracking the online status of active users and a broadcast service for sending ephemeral messages without database persistence. It organizes communication through channel-based message routing and uses a structured JSO

    Coordinates calls to large language model providers and runs inference tasks across a distributed edge network.

    Elixircdcchange-data-capturecrdt
    GitHub पर देखें↗7,488
  1. Home
  2. Artificial Intelligence & ML
  3. Agentic Systems Frameworks
  4. Model Integration and Serving
  5. AI Services

सब-टैग एक्सप्लोर करें

  • AI Service IntegrationsConnectors for external AI models to enable semantic search and generation.
  • Prompt OptimizationAutomated refinement of prompts using generative AI models.
  • Service OrchestrationCoordination of requests to various AI model providers and inference tasks. **Distinct from AI Services:** Focuses on the coordination and routing of AI service calls rather than the managed services themselves.