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 111 days ago. Current rank #977. 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.
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.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.
