Developer Tools / AI Observability
Self-hosted AI observability for tracking LLM requests, costs, latency, prompt traces, reasoning tokens, and PII masking across many model providers.
The page clearly presents a real AI product with a specific purpose: observability for LLM requests. The README shows what it does, which providers it supports, and gives concrete Docker, API, and SDK setup steps with usage examples, enough for a useful public listing.
The crawl does not show pricing, licensing terms, maintenance signals beyond commit count, or screenshots of the dashboard, so a visitor still cannot tell the maturity of the UI or the deployment options beyond the quickstart.
Last evaluated 121 days ago. Current rank #1081. Down 6 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
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.
