Claude Code Trace

Claude Code Trace is a viewer for the session logs Claude Code keeps on your machine (~/.claude/projects/*.jsonl). It turns raw JSONL into a readable conversation, follows live sessions as they run, and can score how efficiently an agent worked. It runs as a desktop app, a web app, or a terminal UI, and nothing leaves your machine unless you ask for an analysis.

Features

• Log viewer — every session as a conversation, with expandable tool calls, thinking, tool results, sub-agents, token counts and timestamps. Edit tool calls show as word-level diffs.
• Live tailing — an open session updates as Claude Code writes to it, and the picker shows which sessions are still running.
• Session picker — sessions grouped by date and project, searchable by what you asked.
• MCP tool calls — mcp__<server>__<tool> calls get readable names, e.g. MCP figma.
• Debug log and team views — Claude Code's debug log and team task boards, when a session has them.
• Efficiency analysis (optional) — sends a redacted summary of a session to Jev and shows trace-linked findings: repeated work, thrashing, recovery, token use. You see the exact payload and confirm before anything is sent.
• Source plugins — Claude Code is built in; other session sources can be switched on in Settings. See Plugins.
• Three front ends — desktop (Tauri), web, and terminal UI (Textual), all reading from the same backend.

Plugins

Each session source is a plugin with its own folder on every part of the app. The picker, views and settings show whatever the enabled plugins provide.

Plugin	What it reads	Default
Claude Code	~/.claude/projects/ session logs	Always on
Antigravity	Google Antigravity "brain" conversations in ~/.gemini/<flavor>/brain/	Off

Turn optional plugins on under Settings → General → Sources. With more than one on, the picker gets an All / per-source filter. Antigravity conversations are read-only, and you can point it at a different brain directory in Settings.

To add a plugin, see specs/15-session-source-plugins.md.

Architecture

flowchart LR
    Logs["Session logs on disk"] --> Backend
    subgraph Backend["Rust backend"]
        Plugins["Source plugins: parse, index, watch"]
        API["HTTP API + SSE, port 11423"]
        Plugins --> API
    end
    Backend -- "Tauri IPC" --> Desktop["Desktop app"]
    API -- "JWT" --> Web["Web app"]
    API -- "JWT" --> TUI["Terminal UI"]
    API -- "JWT" --> Scripts["Your scripts"]

Loading

• One Rust backend parses and indexes the logs and watches the open session for changes. The desktop app talks to it over Tauri IPC. Everything else uses the local HTTP API, with a server-sent events stream for live updates.
• Every HTTP caller is a registered client holding its own HS256-signed JWT. The backend signs and checks the tokens itself and stores no credentials, only a list of clients so any one can be revoked or reissued without touching the others. The web UI (web-ui) and the terminal UI (tui) are registered automatically.
• A client sends its token in the X-CCTrace-Token header, an Authorization: Bearer header, a ?token= query (used for the event stream), or a same-origin cookie.
• Jev and provider API keys live in the OS credential store (macOS Keychain, Windows Credential Manager, Linux Secret Service), never in the settings file.

Design notes for each part are in specs/.

Install

macOS — one line

curl -fsSL https://raw.githubusercontent.com/delexw/claude-code-trace/main/script/install-macos.sh | bash

This installs Claude Code Trace.app into /Applications. Apple Silicon only. The app is ad-hoc signed but not notarized; installed this way it opens straight away.

Download

Get the latest build from Releases:

Platform	File
macOS (Apple Silicon)	.dmg
Linux	.deb, .rpm, .AppImage
Windows	.msi, .exe

The first time you open the downloaded macOS app, macOS says it can't verify it. Click Done, then go to System Settings → Privacy & Security and click Open Anyway. On macOS 14 and earlier you can right-click the app and choose Open instead.

Build from source

Needs Rust (stable), Node.js 18+ and Python 3.11+ for the terminal UI. On Linux also install libwebkit2gtk-4.1-dev libayatana-appindicator3-dev librsvg2-dev libxdo-dev libssl-dev.

git clone https://github.com/delexw/claude-code-trace.git
cd claude-code-trace
./script/install.sh       # builds everything and puts cctrace on your PATH

Docker (web mode)

docker compose up --build   # then open http://localhost:1421

./script/redeploy.sh does the same and can store a Jev API key for the container. See docs/docker.md.

Usage

cctrace              # desktop app
cctrace --web        # web app at http://localhost:1420
cctrace --tui        # terminal UI

Pick a session to open it. Click a message to expand it, or press Enter for the full detail view. Press ? in any view to see the keys.

Efficiency analysis

1. Add your Jev API key: in the desktop app under Settings → Analytics; for web mode and the terminal UI, set JEV_API_KEY in the backend's environment.
2. Choose Analyse efficiency on a session (a in the terminal UI).
3. Check the redacted payload and confirm.

Results are cached per session and marked stale when the session changes.

Calling the API

Add a client under Settings → Accepted clients and copy its token (shown once), or use the terminal UI's token file:

curl -H "X-CCTrace-Token: $(cat ~/.config/claude-code-trace/clients/tui.jwt)" \
  http://127.0.0.1:11423/api/whoami

The config folder is ~/Library/Application Support/claude-code-trace on macOS and %APPDATA%\claude-code-trace on Windows. Set CCTRACE_API_AUTH=off to turn the check off.

Development

npm install
npm run tauri dev        # desktop app with hot reload
npm run dev:web          # web app
npm run dev:tui          # backend + terminal UI
npm run check            # types, lint, format and all tests
npm run test:e2e         # Playwright, real backend + browser

Issues and pull requests are welcome. For bigger changes, open an issue first.

License

MIT