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    • A
      license
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      quality
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      maintenance
      Multi-language MCP debugger for AI agents that supports Python, JavaScript/TypeScript, Go, Rust, and C/C++ with features like container debugging, session recovery, and watch expressions.
      3
      MIT
    • A
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      quality
      D
      maintenance
      Bringing the debugging we know and love as human programmers to our AI agents – debug any supported language with breakpoints, variable/state inspection, and stepping, to supercharge agents' capabilities to reason about runtime code.
      33 PyPI
      21
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to perform step-through debugging of Python, JavaScript/Node.js, and Rust programs using the Debug Adapter Protocol, with support for breakpoints, variable inspection, and stack traces.
      28
      178
      MIT
    • A
      license
      C
      quality
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      SuperDev is a local-first desktop app + MCP server that gives AI coding agents (Claude Code, Codex, Cursor — anything MCP-compatible) access to the runtime: live and historical logs across services, breakpoints in already-running processes (same PID, no restart), real browser control, and DAG deploy pipelines — with human approval and an audit trail on protected writes.
      79
      1
      Apache 2.0
    • A
      license
      A
      quality
      D
      maintenance
      An intelligent debugging assistant that automates the debugging process by analyzing bugs, injecting HTTP-based debug logs into code across multiple environments (browser, Node.js, mobile, etc.), and iteratively fixing issues based on real-time feedback.
      8
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables coding agents to observe any running process — syscalls, CPU flamegraphs, thread stacks, sockets and file descriptors, packets, heap retainers, and container state — without breakpoints, restarts, or instrumentation. It turns output from local tools like strace, py-spy, perf, lsof, tcpdump, and gdb/lldb into structured findings that cite evidence, supporting guided triage of leaks, slowness, hangs, and crashes.
      10
      MIT