agent-monitoring

ZeroShot is a developer tool for monitoring coding-agent sessions, turning sessions and PR reviews into reusable skills, and enforcing team conventions on every PR.

Local CLI for analyzing when a coding agent starts degrading as session context fills, using transcript data already stored on disk.

Selfship is an AI operations tool for agentic applications that detects recurring failures in live traffic, diagnoses the cause, and opens an eval-backed GitHub pull request for review and merge. It works with any LLM/framework and includes a demo, pricing, docs, and FAQ.

NakshGuard is a self-hosted reverse proxy for OpenAI and Anthropic chat APIs that detects and blocks runaway AI agent loops before they waste tokens or API spend. It includes per-agent session tracking, configurable thresholds, shadow mode, and hot config reload.

Foyer is a local dashboard for watching AI coding agents work, with a narrated current-focus view and a research panel for reading sourced briefings while you wait.

A research article describing an empirical runtime-monitoring approach for multi-turn LLM agents, backed by 3,175 runs across four benchmarks. It also points to an open-source implementation, state-harness, with Rust/Python support, LangGraph and CrewAI adapters, CLI tooling, and OpenTelemetry export.