#ai-observability
GitHub repositories that have self-applied the topic "ai-observability" — a creator-tagged metadata that surfaces how AI projects describe themselves.
REPOS Repos for #ai-observability (top 6 by stars)
企业级 AI 资源纳管平台,提供统一 AI网关、Token调度能力,纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型,并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表,帮助企业精准控制成本、量化 ROI,高效治理 AI 资产。
dividehex/context-guardDeterministic health monitoring for LLM conversations. Detects context pressure, drift, repetition and tool anomalies without adding anything to model context.
alok-vibe-code/agentic-ai-learning-roadmapA practical 12-week Agentic AI learning roadmap covering LLM foundations, tool calling, RAG, memory, MCP, multi-agent systems, evaluation, security, and production deployment.
swapitsneil/AgentOps-CenterOpen-source AI Operations platform for multi-agent systems featuring OpenTelemetry instrumentation, SigNoz observability, MCP-powered diagnostics, chaos engineering, workflow replay, and AI cost intelligence.
vishal8shah/codex-otel-grafanaLocal-first OpenTelemetry and Grafana diagnostic kit for Codex, with Loki logs, Tempo traces, Prometheus spanmetrics, privacy-safe derived evidence, and focused Grafana dashboards.
EnesCkmk1/main-observabilityProduction-inspired AI observability lab: a traced and evaluated fictional banking RAG assistant with OpenTelemetry, Phoenix, prompt experiments, guardrails, and optional Dynatrace fan-out.
RELATED Other topics · full topics ranking →
#claude-code
2,815#ai-agents
2,183#llm
1,690#claude
1,475#mcp
1,359#python
1,349#developer-tools
1,231#ai
1,028#codex
996Aggregated by case-insensitive match against topics_json of each repo's latest content snapshot. methodology