“debugging”

Use for systematic debugging.

Stack-specific debugging (Python/async/pdb, logs, stack traces) when root cause is unclear.

MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async…

Step-through debugging for AI agents: breakpoints, stepping and live variables in nine languages

Develop firmware on the real board behind a debug probe: flash, reset, UART and CAN, policy-gated.

AI-powered mobile device automation for Android and iOS devices, emulators, and simulators

Subagent "playwright-test-healer" from hyperdxio/hyperdx: Use this agent when you need to debug and fix failing Playwright tests

AGENTS.md from kepano/defuddle: 42 lines covering Security, Build and test, Runtime compatibility, Debugging extraction and more.

AGENTS.md from 47ng/nuqs: 108 lines covering Essential Context, Development Guidelines, Quick Reference: Common Tasks, Debugging and more.

DebugMCP — Agentic Debugging for VS Code, Cursor & More

ozzafar

Your AI agent debugs for you — right inside VS Code, Cursor & other VS Code-based editors.

EmberProbe - MCU Flash & Debug

BakeSheep

Modern MCU flashing and debugging with OpenOCD, automatic target detection, live variables, and Agent Skills.

Debugssy

Guillermo Garcia Maynez

MCP server for VS Code debugging with tools for breakpoints, debug control, and variable inspection

Sentry's debugging agent that investigates new issues, finds the root cause and drafts a fix as a pull request.

Fully local, voice-enabled assistant that browses the web, writes code and plans tasks without cloud services

Terminal version of GitHub Copilot's coding agent that works with your repos, issues and pull requests and asks before acting

Low-code studio where teams describe the tools their AI assistants use, review a plan, then build, test and debug them.

Open-source, Apache-2.0 visual tool for building AI agents, apps and workflows with plugins, knowledge bases and an API and chat SDK

Java and React platform for building and running AI apps with a visual flow editor, reusable Store items and a plugin system.

Python framework of interoperable components and integrations for building agents and LLM apps, with LangGraph and Deep Agents layered above it.

JavaScript and TypeScript framework of interoperable components for building LLM apps and agents, with LangGraph.js and Deep Agents above it.

Java library for stateful, multi-agent LLM applications built as cyclical graphs, designed to work with langchain4j and Spring AI.

AI gateway and LLM observability platform for logging, debugging and routing LLM requests

AI observability in Sentry for tracing and debugging agent runs, tool calls, token usage and errors

Connects prompts, model calls, tool use, cost and failures to help debug LLM apps and agents in production

Web scraping API with automatic ban handling, browser rendering, sessions and extraction, plus a Python client.

Benchmark of hard, realistic command-line tasks that agents must complete inside a terminal sandbox.