Debugging

An OpenAI-compatible chat server that puts any Hugging Face model behind a normal chat API while also showing a live view into what the model is doing internally as it generates a reply.

• Inference
• Debugging

A runtime reliability layer for AI agents that runs deterministic, zero-model checks on every run to catch silent failures such as circular delegation, and can block an action before it executes.

• AI evals
• Debugging

An open-source, local runtime for debugging AI agent workflows built as DAG pipelines, with tracing, replay and artifact lineage rather than a framework for building agents.

• AI evals
• Debugging

A fork of an MCP bridge for Cheat Engine that replaces its Windows named-pipe transport with a native TCP connection, letting AI tools such as Cursor, Copilot and Claude drive local or remote Cheat Engine sessions for reverse engineering, pointer scanning and memory analysis.

• MCP servers
• Debugging

An AI debugger and verification toolkit for local browser development that streams console logs, network failures, exceptions and recordings from a browser extension into any Model Context Protocol-compatible coding assistant.

• MCP servers
• Debugging

A cross-platform man-in-the-middle proxy that intercepts, logs and analyzes the traffic between AI coding tools such as Claude Code, Cursor, Codex or OpenCode and their backend language-model APIs.

• Debugging

A Python package that extracts the accessibility tree of macOS application windows as JSON, with an option to capture matching screenshots that highlight each UI element by type, for accessibility testing, UI automation and visual debugging.

• Testing
• Debugging

The development workspace for Bevy Remote Protocol tools, including a Model Context Protocol server that lets AI coding assistants inspect and control a running Bevy game-engine application.

• MCP servers
• Debugging

A binary analysis and decompilation engine built on LLVM that lifts native and smart-contract code to one-to-one instruction-level semantics, for use by command-line tools, other programs and AI agents through a single C API.

• Debugging

A diagnostic tool that traces why an LLM memory system produced a wrong answer, modeling extraction, retrieval and generation as an operation-variable execution graph.

• Agent memory
• Debugging

A command-line tool that inspects live LLM inference processes and breaks down GPU memory use into weights, KV cache, workspace and activations, then projects how much memory different quantization strategies would save.

• Inference
• Debugging

An MCP server that gives AI assistants tools for Arm architecture development, such as searching Arm documentation, scanning code for x86-to-Arm compatibility, and analyzing assembly performance.

• MCP servers
• Debugging

A mobile runtime detection workbench for iOS and Android that runs Frida-based hooks and shell tools inside a host app sandbox, and lets an AI work in the same sessions through MCP.

• Debugging
• Security

Three small command-line tools that let LLM coding assistants evaluate Clojure code in a live REPL and automatically fix mismatched delimiters.

• CLI tools
• Debugging

A local-first debugging and CI toolkit for TypeScript AI agents that turns raw execution traces into readable execution trees, deterministic trajectory checks for catching wrong tool paths, and shareable offline evidence bundles.

• Testing
• Debugging

A cross-platform SQL Server execution plan analyzer with a desktop GUI, a CLI, and a built-in MCP server, that parses .sqlplan files, flags performance problems, and suggests missing indexes.

• Debugging
• Databases

An MCP server that connects Charles Proxy to AI agents, letting them read live and historical HTTP traffic captures as structured, summary-first data instead of raw packet dumps, plus tools for reverse-engineering auth and replay.

• MCP servers
• Debugging

A transparent proxy, described as Wireshark for MCP, that sits in the real traffic path between an AI client and its MCP servers and shows every JSON-RPC tool call live in the terminal.

• MCP servers
• Debugging

A tool that gives AI coding agents a consistent way to investigate how software works, from app behavior down to native binaries, so a feature can be understood, evidenced and rebuilt for another project.

• Agent skills
• Debugging

A git-backed, zero-dependency library of debugging lessons that AI coding agents search asynchronously so they can reuse fixes already verified by another agent's session, rather than rediscovering the same bug.

• Agent memory
• Debugging

An MCP server that bridges LLMs such as Claude and Cursor with the x64dbg and x32dbg debuggers, giving an AI assistant direct access to more than 40 debugging tools through natural-language prompts.

• MCP servers
• Debugging

embeddedskills is a free, open-source collection of embedded development and debugging skills that let an AI assistant directly operate compilers, debuggers and communication buses, closing the loop from code generation to hardware verification.

• Agent skills
• Debugging

A lightweight, real-time debugging tool for AI agents that traces every model and tool call through an OpenAI-compatible proxy, with a local UI for inspecting and analyzing interactions.

• AI evals
• Debugging

A thin MCP server that connects coding agents to a running Next.js dev server, proxying its built-in MCP endpoint for live runtime errors, routes and logs.

• MCP servers
• Debugging