Developer Tool / AI Observability
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
The page clearly describes an AI-focused developer product and shows enough concrete evidence for a public listing: purpose, deployment model, quickstart, integration paths, and supported agent workflows. It explains what gets captured, how to connect coding and production agents, and includes examples for local setup and framework coverage.
The crawl shows strong setup docs, but it does not expose pricing, hosted vs. self-hosted plan details, or much about operational limits, security posture, or team features beyond the core control plane. The visible snapshot also cuts off part of the framework coverage list, so the full compatibility matrix is not fully shown.
Last evaluated just now. Current rank #13. Down 2 spots in the rankings.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Browser extension that scans pastes for credentials and PII before they reach LLM chat sites, with local on-device inference and no network calls.
Linux-only kernel-level audit feed for Claude Code or other matched agent sessions, streaming exec, file, and network activity in real time.
