OpenTelemetry

Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.

An AI incident copilot that watches your screen during an incident, extracts what happened, and answers follow-up questions using the Grafana LGTM stack.

Telemetry is an observability platform for AI and LLM apps that tracks model calls, tool steps, retrievals, tokens, cost, latency, and errors. It supports OpenTelemetry ingest, TypeScript and Python SDKs, and integrations like Vercel AI SDK and LangChain.

Go-native framework for building, orchestrating, and observing AI agents with native OpenTelemetry, an embedded dashboard, replay, and first-party MCP/A2A support.

An OpenTelemetry Collector distribution that turns GenAI traces into bounded metrics and keyed summaries, designed for fleet-level observability without exporting raw prompts or high-cardinality labels.

A type-safe Go runtime for building tool-using LLM agents across multiple providers, with streaming, memory, and OpenTelemetry support.

A single-binary OpenTelemetry trace generator that simulates realistic microservice and AI-agent traces, with chaos injection and multiple topology sizes.

Experimental observability tooling for Go services that turns vulnerability scanning into live metrics. It combines govulncheck, Prometheus, and OpenTelemetry to show when vulnerable code is actually executing in running services.

A governed MCP server for exposing existing APIs to AI agents with scoped access, verified identity, and per-call audit traces.