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Comprehensive analytics dashboard for your AI coding agents. Reads local chat history from Cursor, Windsurf, Claude Code, VS Code Copilot, Zed, Antigravity, Copilot CLI, Gemini CLI and OpenCode โ€” all running locally, no data leaves your machine.

25
2
100% credibility
Found Mar 07, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Agentlytics provides a local web dashboard that aggregates and visualizes chat histories and analytics from multiple AI coding assistants without sending data off your machine.

How It Works

1
๐Ÿ” Discover Agentlytics

You hear about a handy tool that gathers all your AI coding chat histories into one easy dashboard.

2
๐Ÿš€ Launch with one click

You start the tool right from your computer, and it opens a beautiful page in your web browser.

3
โšก Automatically scans your tools

It quietly reads chats from your favorite AI coding helpers like Cursor or Claude, keeping everything on your machine.

4
๐Ÿ“Š View your dashboard

A colorful overview appears with key stats, activity heatmaps, and breakdowns by tool and project.

5
๐Ÿ” Dive into details

Click to explore sessions, compare editors, or analyze top tools and models used.

๐ŸŽ‰ Unlock coding insights

You now see patterns in your AI usage, like peak hours and efficiency, to improve your workflow.

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Star Growth

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AI-Generated Review

What is agentlytics?

Agentlytics delivers a comprehensive analytics dashboard for AI coding agents, scanning local chat histories from Cursor, Windsurf, Claude Code, VS Code Copilot, Zed, Antigravity, Copilot CLI, Gemini CLI, and OpenCode. Fire it up with `npx agentlytics` for a browser UI packed with KPIs, activity heatmaps, token breakdowns, session viewers, and project analyticsโ€”all processed locally via SQLite, no data leaves your machine. JavaScript-powered with a React frontend, it normalizes messy agent logs into actionable insights.

Why is it gaining traction?

It aggregates 13 editors seamlessly, offering editor comparisons, tool frequency charts, and streaks tracking that reveal habits like peak hours or model preferences. Privacy-first local scanning hooks devs wary of cloud telemetry, plus one-click refetch and SQL querying for custom dives. In a fragmented agent landscape, its unified view on chats, CLI sessions, and code interactions fills a real gap.

Who should use this?

Mac-based devs chaining Cursor with Claude Code or Zed, tracking token economy across projects. Analytics nerds benchmarking agents like Windsurf vs. Copilot CLI, or teams auditing tool calls in comprehensive data analytics for swarm workflows.

Verdict

Worth npx-ing for multi-agent usersโ€”25 stars and 1.0% credibility reflect early days, but crisp docs and MIT license make it low-risk. Pair with the roadmap for cross-platform; it's a smart start for agent analytics.

(198 words)

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