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@algiras/debugium
Advanced tools
AI-driven debugger for Python, JavaScript, TypeScript, Rust, Java, C/C++, Scala, and WebAssembly via DAP adapters and MCP tools.
A multi-language debugger with a real-time web UI and LLM integration via MCP.
Debug Python, JavaScript, TypeScript, C, C++, Rust, Java, Scala, and WebAssembly programs from your browser — with AI-driven analysis through the Model Context Protocol.

dap.json/plugin marketplace add Algiras/debugium
/plugin install debugium@debugium
Then add to your project's .mcp.json (see MCP Tools below).
curl -fsSL https://raw.githubusercontent.com/Algiras/debugium/main/install.sh | bash
# Prerequisites: Rust stable + wasm-pack
cargo install wasm-pack
# Build UI
wasm-pack build crates/debugium-ui --target web --out-dir pkg
cp crates/debugium-ui/pkg/cm_init.js crates/debugium-ui/dist/pkg/
cp crates/debugium-ui/pkg/debugium_ui.js crates/debugium-ui/dist/pkg/
cp crates/debugium-ui/pkg/debugium_ui_bg.wasm crates/debugium-ui/dist/pkg/
# Build & install server
cargo install --path crates/debugium-server
debugium launch my_script.py --adapter python
debugium launch app.js --adapter node
debugium launch app.ts --adapter typescript
# C or C++ (compile with -g for debug info)
cc -g -O0 main.c -o main && debugium launch ./main --adapter lldb
c++ -g -O0 main.cpp -o main && debugium launch ./main --adapter lldb
# Rust
cargo build && debugium launch target/debug/my_binary --adapter lldb
# Java (requires microsoft/java-debug adapter)
debugium launch MainClass --adapter java
# Scala (connect to a running Metals DAP server)
debugium launch build-target --adapter metals
debugium launch build-target --adapter metals:5005 # custom port
# Create a dap.json (see dap.json.example) then:
debugium launch my_program --config ./dap.json
# Or place dap.json in cwd / .debugium/ for auto-discovery:
debugium launch my_program # finds ./dap.json automatically
debugium launch my_script.py --adapter python \
--breakpoint /abs/path/my_script.py:42 \
--breakpoint /abs/path/helpers.py:15
Add a .mcp.json to your project root (Claude Code picks this up automatically):
{
"mcpServers": {
"debugium": {
"command": "debugium",
"args": ["mcp"]
}
}
}
Then launch the session normally — the MCP server connects to whichever port is active:
debugium launch my_script.py --adapter python --breakpoint /abs/path/my_script.py:42
Claude Code will now have access to all Debugium MCP tools. See CLAUDE.md for the recommended workflow and SKILL.md for the full tool reference.
Once a session is running (debugium launch …), you can drive it from a second terminal — or from an LLM agent — without touching the web UI.
Port is auto-discovered from ~/.debugium/port; override with --port.
| Flag | Default | Description |
|---|---|---|
--port PORT | ~/.debugium/port | Server port to connect to |
--session ID | default | Session to target |
--json | off | Print raw JSON instead of human-readable output |
debugium sessions # list active sessions
debugium threads # list threads
debugium stack # show call stack
debugium vars # show local variables (auto-resolves top frame)
debugium vars --frame-id 2 # show variables for a specific frame
debugium eval "len(fibs)" # evaluate expression in top frame
debugium eval "x + 1" --frame-id 2
debugium source path/to/file.py # print full source file
debugium source path/to/file.py --line 43 # windowed ±10 lines with → marker
debugium context # full snapshot: paused-at, stack, locals, source, breakpoints
debugium context --compact # same but truncated (3 frames, 10 vars)
debugium bp set FILE:LINE [FILE:LINE …] # set breakpoints (replaces existing in that file)
debugium bp list # list all breakpoints
debugium bp clear # clear all breakpoints
debugium continue # resume execution
debugium step over # step over (next line)
debugium step in # step into a function call
debugium step out # step out of current function
debugium annotate FILE:LINE "message" [--color info|warning|error]
debugium finding "message" [--level info|warning|error]
# Terminal A — start the session
debugium launch tests/target_python.py --adapter python \
--breakpoint "$(pwd)/tests/target_python.py:43"
# Terminal B (or LLM agent) — inspect and drive it
debugium sessions
debugium stack
debugium vars
debugium eval "len(fibs)"
debugium bp set tests/target_python.py:49
debugium continue # runs to line 49
debugium vars
debugium step over
debugium context --json # machine-readable snapshot
debugium annotate tests/target_python.py:43 "called here" --color info
debugium finding "fibs has 10 elements" --level info
debugium bp clear
When connected via MCP, 50+ tools are available. Key ones:
| Category | Tools |
|---|---|
| Orient | get_debug_context ★ (paused location + locals + stack + source in one call) |
| Breakpoints | set_breakpoint, set_breakpoints, set_logpoint, list_breakpoints, clear_breakpoints, set_function_breakpoints, set_exception_breakpoints, set_data_breakpoint, breakpoint_locations |
| Execution | continue_execution, step_over, step_in, step_out, pause, goto, disconnect, terminate, restart |
| Inspection | get_stack_trace, get_scopes, get_variables, evaluate, get_threads, get_source, get_capabilities, loaded_sources, source_by_reference, step_in_targets |
| Mutation | set_variable, set_expression |
| Output | get_console_output, wait_for_output (with from_line to avoid stale matches) |
| Memory | read_memory, write_memory, disassemble (native debugging) |
| History | get_timeline, get_variable_history, compare_snapshots, find_first_change |
| Annotations | annotate, get_annotations, add_finding, get_findings |
| Watches | add_watch, remove_watch, get_watches |
| Compound | step_until, step_until_change, continue_until, run_until_exception, explain_exception, get_call_tree, restart_frame |
| Session | get_sessions, list_sessions, launch_session, stop_session, export_session, import_session |
| Control | goto_targets, cancel_request |
Note:
step_over,step_in, andstep_outare blocking — they wait for the adapter to pause before returning. Safe to chain back-to-back without sleeps.continue_executionreturnsconsole_line_countfor use withwait_for_output. Tools likeread_memory,goto, andrestart_frameonly appear when the adapter supports them.
See SKILL.md for the full reference with input schemas.
| Key | Action |
|---|---|
F5 | Continue |
F10 | Step Over |
F11 | Step Into |
Shift+F11 | Step Out |
Ctrl/⌘+D | Toggle dark/light mode |
debugium-server (Axum)
├── DAP proxy — spawns / connects to debug adapters (debugpy, js-debug, lldb-dap, java-debug, Metals, custom)
├── HTTP API — /state, /dap, /sessions, /annotations, /findings
├── WebSocket — broadcasts DAP events to the UI in real-time
└── MCP stdio — JSON-RPC 2.0 server for LLM tool integration
debugium-ui (Leptos + WASM)
├── CodeMirror 6 — source viewer with breakpoint gutters + exec arrow + LLM annotations
├── Reactive panels — Variables, Stack, Breakpoints, Findings, Watch, Timeline, Console
└── WebSocket client — receives events, sends DAP commands, auto-reconnects
| Language | --adapter flag | Prerequisite | Verified |
|---|---|---|---|
| Python | python / debugpy | pip install debugpy | ✅ |
| Node.js | node / js | js-debug (bundled or build from vscode-js-debug) | ✅ |
| TypeScript | typescript / ts / tsx | js-debug + tsx or ts-node in PATH | ✅ |
| C / C++ | lldb / codelldb | lldb-dap (Xcode on macOS; apt install lldb on Linux) | ✅ |
| Rust | lldb / rust | lldb-dap + cargo build | ✅ |
| Java | java / jvm | microsoft/java-debug adapter JAR | ✅ |
| Scala | metals / scala | Running Metals DAP server | ⚠️ (requires running Metals) |
| WebAssembly | wasm | lldb-dap (LLVM ≥16) | ⚠️ (requires WASM-aware LLVM) |
| Any DAP adapter | --config dap.json | See dap.json.example | ✅ |
Connect to a DAP server running on another machine (or in a container):
{
"adapterId": "debugpy",
"request": "attach",
"host": "192.168.1.100",
"port": 5678,
"pathMappings": [{ "localRoot": ".", "remoteRoot": "/app" }]
}
debugium launch app.py --config remote.json
MIT
FAQs
AI-driven debugger for Python, JavaScript, TypeScript, Rust, Java, C/C++, Scala, and WebAssembly via DAP adapters and MCP tools.
The npm package @algiras/debugium receives a total of 41 weekly downloads. As such, @algiras/debugium popularity was classified as not popular.
We found that @algiras/debugium demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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