The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.
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Updated
May 13, 2026 - TypeScript
The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.
Gift your VS Code agent a real debugger: breakpoints, stepping, inspection.
Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run — locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..
Drive x64dbg with your AI. MCP server: 23 mega-tools / 153 endpoints for breakpoints, memory, disasm, tracing, anti-debug & PE dumping. Claude/Cursor/Windsurf/Cline. All local.
A stop-loss for Claude Code: detects loops, compaction danger, failed tools, and token waste before the next request.
Local-first situational awareness layer for AI agents. Single binary, written in Rust.
🤖 An AI-native MCP server for .NET memory dump investigations. Leverage LLMs (Claude/Gemini) to analyze heaps, threads, and exceptions using natural language. Built with ClrMD, token-efficient paging, and Docker support for cross-architecture (.NET/AMD64/ARM64) post-mortem analysis.
Local-first agent debugger with replay, failure memory, smart highlights, and drift detection.
Codex CLI session supervision: see failed or incomplete turns, token use, model changes, context pressure, and postmortems.
AI-Powered Execution Cinema Debugger for Elixir/BEAM
ai agent
🩺 RAG Doctor — Open-source diagnostic tool for Retrieval-Augmented Generation (RAG) systems. Analyzes codebases to detect architectural issues in LLM pipelines such as missing retrieval, bad chunking, embedding mismatches, and vector database misuse.
Claude Code skill + CLI that lets an AI agent drive Rider's MCP debugger to debug a running Unity Editor at runtime, no session restart needed.
MCP server for rr reverse debugging — enables AI assistants to record, replay, and inspect program executions via GDB/MI
Provide an MCP server to enable reverse debugging with rr, improving control and insight during program execution analysis.
QA Continuity AI — a private, on-premise platform that turns scattered project knowledge (rules, flows, bugs, tests, CI) into test plans, Playwright automation, and searchable QA memory. 100% local LLMs via Ollama + HuggingFace, zero API cost.
Local visual debugger for AI agent runs: replay failures, inspect prompts/tools/results, and export redacted evidence.
Quick entry for the WFGY AI Troubleshooting Atlas. Fast links, quick start, and a 60-second try. Part of the WFGY ecosystem.
🏎️ DRS: Debugging at the speed of F1. An AI-powered Rovo Agent that instantly links Jira incidents to buggy Bitbucket commits.
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