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AI and Agent Observability · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesAI and Agent Observability

Specialized instrumentation and metrics tracking for language model interactions, agent tool execution, and training loop telemetry.

Explore 3 awesome GitHub repositories matching system administration & monitoring · AI and Agent Observability. Refine with filters or upvote what's useful.

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  2. System Administration & Monitoring
  3. Monitoring and Observability
  4. AI and Agent Observability

Awesome AI and Agent Observability GitHub Repositories

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  • punkpeye/awesome-mcp-servers

    punkpeye/awesome-mcp-servers

    81,101GitHubView on GitHub↗

    This project serves as a centralized directory and interoperability hub for the Model Context Protocol, providing a curated collection of standardized service connectors that bridge artificial intelligence models with external software, databases, and APIs. It facilitates the integration of AI agents with diverse ecosy

    aimcp
  • OpenHands/OpenHands

    OpenHands/OpenHands

    67,974GitHubView on GitHub↗

    OpenHands is an autonomous agent framework designed for software engineering workflows. It provides a modular platform for orchestrating AI agents that reason, plan, and execute tasks within isolated, containerized development environments. By integrating with standard version control and development tools, the system

    Pythonagentartificial-intelligencechatgpt
  • hiyouga/LlamaFactory

    hiyouga/LlamaFactory

    67,386GitHubView on GitHub↗

    LlamaFactory is a unified framework for fine-tuning and adapting large language models. It provides a comprehensive platform that standardizes training workflows across diverse machine learning architectures, allowing users to execute both full-tuning and parameter-efficient methods through a single interface. The pro

    Pythonagentaideepseek

Explore sub-tags

  • Agent Observability ConfigurationsSettings and parameters used to define how autonomous agents report their internal state and operational telemetry.
  • Experiment Tracking SystemsPlatforms that record and compare parameters, results, and metadata from machine learning model training runs.
  • Language Model MetricsTools for measuring and analyzing the performance, accuracy, and token usage of large language models.
  • Monitoring Integrations
Connectors that bridge observability data from AI agents into centralized monitoring and logging platforms.