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Not sure where to start? This week’s hottest software, models and stacks in three minutes.

AI Apps▾

AI software people use: from assistants like ChatGPT to tools for coding, video and workflows, picked by purpose.

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// Trace & monitor

radar

Open-source Kubernetes UI with a built-in MCP server for AI agents.

Open source Maintained For developers

Official site ↗ GitHub ↗

IN ONE PARAGRAPH

radar is open-source Kubernetes UI with a built-in MCP server for AI agents.

Good for: Developers and teams who want to trace & monitor.

01How to start

  1. 1Read the official quick-start (link above).
  2. 2Install or sign up as the official guide describes.
  3. 3Try it on a small example before wiring it into a project.

02Alternatives & comparison

Compare side by side →
langfuse 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform. ★ 36k signoz SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined with SigNoz MCP and a native AI teammate (in SigNoz Cloud) it helps you build more resilient apps. ★ 32k mlflow 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. ★ 28k opik Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. ★ 23k phoenix AI Observability & Evaluation ★ 12k

03Related

Versions, why it is listed, for AI to read

Popularity evidence (third-party snapshots)

For AI agents

Data updated: AI software & hot ranks · Software profiles & needs(UTC+8)