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 20 days ago. Current rank #215. 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.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.
CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.
