Wardy automatically detects, tracks, and indexes every interaction you have with AI coding agents — prompts, responses, file changes, terminal commands, Git commits, approvals, and agent actions — in one unified, searchable timeline. No manual logging. No context switching. Just complete, auditable history of your AI-assisted development.
Think of it as Git for AI activity: every prompt, every decision, every change captured automatically so you can review, replay, analyze, and share your entire AI coding workflow.
| Feature | Description |
|---|---|
| Auto-Detection | Automatically detects running AI agents (Claude Code, OpenCode, Cursor, Codex CLI, etc.) with zero config |
| Real-Time Session Capture | Watches agent data files and captures sessions as they happen |
| Unified Timeline | All sessions from all agents in one reverse-chronological feed |
| Full-Text Search | Search across session titles, metadata, and message content with context snippets |
| Project Grouping | Sessions organized by project, with per-project stats |
| Agent Dashboards | Per-agent stats: sessions, prompts, tokens, last active |
| Conversation Viewer | Expandable accordion UI with thinking blocks, tool calls, and code blocks |
| Conversation Copy | One-click copy on code blocks |
| Export | Sessions exportable as JSON or plain text (single, by-agent, by-project) |
| HTTP API | POST /api/save endpoint for any agent to push session data programmatically |
| One-Click Auto-Save | Configure Claude Code, Qoder, OpenCode, Cursor, and others to auto-save conversations |
| Real-Time Updates | Toast notifications when new sessions are detected |
| VS Code Sidebar | Native VS Code webview panel with dark/light theme support |
| Local-First | All data stored locally — no telemetry, no phone-home |
| Search | Search across sessions, agents, projects, and message content |
| Token Tracking | Token counts per session with human-readable formatting |
| Agent Prompt | Copyable prompt to give agents for auto-saving |
| Feature | Status |
|---|---|
| PDF / Excel / Word Export | Only JSON/TXT currently |
| Slack / Email Daily Digest | README mentions it, not yet built |
| Team Dashboard | Coming in a future release |
| Diff View | Link sessions to file changes |
| Git Integration | Link sessions to commits, blame |
| Cost Tracking | Multiply tokens by model pricing |
| Session Comparison | Side-by-side comparison of two AI sessions |
| Prompt Library | Save and reuse successful prompts |
| Semantic Search | Vector-based search over conversation content |
| Auto-Tagging | Automatic categorization by intent (debug, feature, refactor) |
| Data | Details |
|---|---|
| AI Prompts & Responses | Every prompt sent to an AI agent and every response received, with full conversation history |
| Agent Activity | Which agent (Claude Code, OpenCode, Cursor, Codex CLI, GitHub Copilot, Aider, etc.) made which change |
| File Changes | Every file modified by an AI agent, linked to the prompt that triggered the change |
| Terminal & Tool Commands | Shell commands, tool executions, Git operations, and package installs during AI sessions |
| Approvals & Rejections | Every manual intervention, approval, or rejection during AI-assisted development |
| Session Metadata | Model used, tokens consumed, duration, project path, and timestamps for every session |
| Process Activity | Real-time detection of running AI agents (start, stop, active sessions) |
For Developers
- Never wonder "what did the AI change and why?" — every action is logged and linked to its prompt
- Search across all your AI conversations, files, and commands in one place
- Replay coding sessions step-by-step to understand how a solution evolved
- Keep a private, local-first record under your control
For Teams
- Generate AI Activity Reports as PDF, Excel, or Word for audits, stand-ups, and retrospectives (coming soon)
- Send automated daily summaries to Slack — keep everyone aligned without leaving the editor (coming soon)
- Track which agents and models your team relies on, and how much they're used
- Export compliance-ready audit trails of all AI-assisted changes
For AI Workflow Analysis
- Collect structured data on prompt volume, token usage, session duration, and agent preferences
- Identify patterns in how your team interacts with AI — which prompts yield results, which agents are most productive, where context is lost
- Build a quantitative foundation for optimizing your AI development pipeline
Wardy auto-detects and tracks sessions from:
| Agent | Provider | Detection Method |
|---|---|---|
| Claude Code | Anthropic | Process detection + conversation files |
| OpenCode | Anthropic | Process detection + .dat files + conversation files |
| Cursor | OpenAI | Process detection + composer/chat JSON files |
| Codex CLI | OpenAI | Process detection + session index files |
| GitHub Copilot | GitHub | Process detection |
| Claude Dev | Anthropic | Checkpoint directory scanning |
| Aider | — | Process detection + data directory scanning |
| Qoder | — | Data directory scanning |
| VS Code | — | Process detection (terminal/command tracking) |
| Any other CLI agent | — | Process detection (generic fallback) |
- Install Wardy in VS Code — it activates automatically in your sidebar
- Use your AI agents normally — Wardy watches for running agents and new conversation files in real time
- Review your timeline — every session, prompt, and change appears instantly in the Wardy sidebar
- Search, filter, and analyze — find any interaction across projects, agents, timeframes, or message content
- Export and share — generate reports or send summaries to Slack
Install from the VS Code Marketplace or open-vsx.org.
Visual Studio Code 1.90.0+ required. Works out of the box with zero configuration.
- Local-first: All data stays on your machine in your extension storage directory
- No telemetry: Wardy does not phone home, track usage, or send data to any external server
- You own your history: Export, delete, or archive your AI activity data at any time
MIT