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Tags: LLM observability
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The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

  • agentneo
  • agents
  • ai-performance-optimization
  • llm-testing

🚀 A real-time monitoring dashboard for Claude Code & Codex, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, & WebSockets. It tracks sessions, agent activity, tool usage, and subagent orchestration, providing live analytics, a Kanban status board, status notifications, a cute buddy, & an interactive web UI/MacOS/Windows native app.

Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.

See what your AI coding agent is doing. Multi-provider assistant & session monitor for VS Code and the terminal — inline completions, code transforms, and a full TUI dashboard tracking tokens, cost, and context across Claude Code, OpenCode, and Codex. Switch between multiple Claude Code and Codex accounts.

  • copilot-alternative
  • inline-completion
  • claude-code-cli
  • code-reviews

TranslatedOpen-source unified usage dashboard for Claude — track tokens, quota, costs across Claude Code, claude.ai & API in one panel. Suitable for Pro/Max subscribers and developers. https://dyp23yngrtumg.ok.kimi.link

Claude Code dashboard: see where your limits are headed before you hit them. Calibrated usage forecasts, live rate-limit gauges, session costs, memory browser. Single binary, zero config, plus a VS Code extension.