Usage ranking
AI coding agents by usage on July 1, 2025
This ranks how much each agent is used and followed, not how good it is: a popular agent can be a worse fit for your work than a small one. Click an agent to see where its numbers come from. Each source's column shows the agent's scaled score (the leader is 100) over the raw number. 3 sources had data on this day. The score averages an agent's scaled values over the sources that can measure it (at least three).
1
Claude CodeAnthropic · closed sourceUsage score 451001.8M3617k04.4k- npm 100 · 1.8M
- GitHub 36 · 17k
- VS Code 0 · 4.4k
- npm: 1001,806,555 downloads of @anthropic-ai/claude-code in the 7 days to Jul 1, 2025. That's the most of any agent in this source, so it scores 100. Source
- GitHub: 3616,604 stars on github.com/anthropics/claude-code on Jul 1, 2025. The leader here is Gemini CLI with 47k, so Claude Code scores 17k ÷ 47k × 100 = 36. Source
- VS Code: 04,408 installs of the anthropic.claude-code extension on Jun 20, 2025. The leader here is GitHub Copilot with 35M, so Claude Code scores 4.4k ÷ 35M × 100 = 0. Source
Usage score: (100 + 36 + 0) ÷ 3 = 45. Claude Code website
2
Gemini CLIGoogle · open sourceUsage score 4021386k10047k–- npm 21 · 386k
- GitHub 100 · 47k
- npm: 21385,646 downloads of @google/gemini-cli in the 7 days to Jul 1, 2025. The leader here is Claude Code with 1.8M, so Gemini CLI scores 386k ÷ 1.8M × 100 = 21. Source
- GitHub: 10046,768 stars on github.com/google-gemini/gemini-cli on Jul 1, 2025. That's the most of any agent in this source, so it scores 100. Source
Not counted: VS Code, because there's no snapshot of its extension page from around that day.
Usage score: (21 + 100) ÷ 3 = 40, divided by 3 rather than 2 because every agent's average counts at least 3 sources. Gemini CLI website
3
ClineCline · open sourceUsage score 35122k10047k51.6M- npm 1 · 22k
- GitHub 100 · 47k
- VS Code 5 · 1.6M
- npm: 121,728 downloads of cline in the 7 days to Jul 1, 2025. The leader here is Claude Code with 1.8M, so Cline scores 22k ÷ 1.8M × 100 = 1. Source
- GitHub: 10046,754 stars on github.com/cline/cline on Jul 1, 2025. The leader here is Gemini CLI with 47k, so Cline scores 47k ÷ 47k × 100 = 100. Source
- VS Code: 51,610,652 installs of the saoudrizwan.claude-dev extension on Jun 3, 2025. The leader here is GitHub Copilot with 35M, so Cline scores 1.6M ÷ 35M × 100 = 5. Source
Usage score: (1 + 100 + 5) ÷ 3 = 35. Cline website
4
GitHub CopilotGitHub · closed sourceUsage score 3300–10035M- npm 0 · 0
- VS Code 100 · 35M
- npm: 00 downloads of @github/copilot in the 7 days to Jul 1, 2025. The leader here is Claude Code with 1.8M, so GitHub Copilot scores 0 ÷ 1.8M × 100 = 0. Source
- VS Code: 10034,742,025 installs of the GitHub.copilot-chat extension on Jun 20, 2025. That's the most of any agent in this source, so it scores 100. Source
Not counted: GitHub, because it has no public GitHub repo.
Usage score: (0 + 100) ÷ 3 = 33, divided by 3 rather than 2 because every agent's average counts at least 3 sources. GitHub Copilot website
5
Codex CLIOpenAI · open sourceUsage score 22227k6530k1322k- npm 2 · 27k
- GitHub 65 · 30k
- VS Code 1 · 322k
- npm: 227,280 downloads of @openai/codex in the 7 days to Jul 1, 2025. The leader here is Claude Code with 1.8M, so Codex CLI scores 27k ÷ 1.8M × 100 = 2. Source
- GitHub: 6530,181 stars on github.com/openai/codex on Jul 1, 2025. The leader here is Gemini CLI with 47k, so Codex CLI scores 30k ÷ 47k × 100 = 65. Source
- VS Code: 1321,684 installs of the openai.chatgpt extension on Jun 4, 2025. The leader here is GitHub Copilot with 35M, so Codex CLI scores 322k ÷ 35M × 100 = 1. Source
Usage score: (2 + 65 + 1) ÷ 3 = 22. Codex CLI website
6
Roo CodeRoo Code · open sourceUsage score 11–3215k2585k- GitHub 32 · 15k
- VS Code 2 · 585k
- GitHub: 3215,105 stars on github.com/RooCodeInc/Roo-Code on Jun 6, 2025. The leader here is Gemini CLI with 47k, so Roo Code scores 15k ÷ 47k × 100 = 32. Source
- VS Code: 2585,103 installs of the RooVeterinaryInc.roo-cline extension on Jun 17, 2025. The leader here is GitHub Copilot with 35M, so Roo Code scores 585k ÷ 35M × 100 = 2. Source
Not counted: npm, because it has no command-line package on npm.
Usage score: (32 + 2) ÷ 3 = 11, divided by 3 rather than 2 because every agent's average counts at least 3 sources. Roo Code website
7
Kilo CodeKilo · open sourceUsage score 1002943039k- npm 0 · 0
- GitHub 2 · 943
- VS Code 0 · 39k
- npm: 00 downloads of @kilocode/cli in the 7 days to Jul 1, 2025. The leader here is Claude Code with 1.8M, so Kilo Code scores 0 ÷ 1.8M × 100 = 0. Source
- GitHub: 2943 stars on github.com/Kilo-Org/kilocode on Jun 9, 2025. The leader here is Gemini CLI with 47k, so Kilo Code scores 943 ÷ 47k × 100 = 2. Source
- VS Code: 038,966 installs of the kilocode.Kilo-Code extension on Jun 7, 2025. The leader here is GitHub Copilot with 35M, so Kilo Code scores 39k ÷ 35M × 100 = 0. Source
Usage score: (0 + 2 + 0) ÷ 3 = 1. Kilo Code website
8
AuggieAugment Code · closed sourceUsage score 000–1205k- npm 0 · 0
- VS Code 1 · 205k
- npm: 00 downloads of @augmentcode/auggie in the 7 days to Jul 1, 2025. The leader here is Claude Code with 1.8M, so Auggie scores 0 ÷ 1.8M × 100 = 0. Source
- VS Code: 1205,484 installs of the augment.vscode-augment extension on Jun 2, 2025. The leader here is GitHub Copilot with 35M, so Auggie scores 205k ÷ 35M × 100 = 1. Source
Not counted: GitHub, because it has no public GitHub repo.
Usage score: (0 + 1) ÷ 3 = 0, divided by 3 rather than 2 because every agent's average counts at least 3 sources. Auggie website
9
AmpSourcegraph · closed sourceUsage score 006.2k–0311- npm 0 · 6.2k
- VS Code 0 · 311
- npm: 06,242 downloads of @sourcegraph/amp in the 7 days to Jul 1, 2025. The leader here is Claude Code with 1.8M, so Amp scores 6.2k ÷ 1.8M × 100 = 0. Source
- VS Code: 0311 installs of the sourcegraph.amp extension on May 1, 2025. The leader here is GitHub Copilot with 35M, so Amp scores 311 ÷ 35M × 100 = 0. Source
Not counted: GitHub, because it has no public GitHub repo.
Usage score: (0 + 0) ÷ 3 = 0, divided by 3 rather than 2 because every agent's average counts at least 3 sources. Amp website
Not ranked that day, only one source has them: Aider (GitHub, 34k), OpenCode (npm, 17k).
Method
How the usage score is made
No single public number measures how much each AI coding agent is used, so we blend the ones that exist. In each source the leader scores 100 and the rest are scaled to it. An agent's score is the average over the sources that can measure it. Sources that can't see an agent at all (Cursor has no npm package) are left out of its average, but the average always counts at least three sources, so an agent seen by only one or two can't outrank one that leads everywhere. An agent needs two sources to be ranked.
- npmCLI downloads, 7 days · data from Jul 1, 2025
Downloads of each agent's command-line package in the 7 days to the date, with one-off bursts (mirrors, bots) capped. Downloads count installs and CI runs, not people, and agents with their own installer are undercounted. Source
- GitHubStars · data from Jul 1, 2025
Stars on the agent's GitHub repo, from monthly snapshots. Stars measure interest, and build up over time. Source
- VS CodeExtension installs, all time · data from Jun 20, 2025
All-time installs of the agent's VS Code extension, from monthly snapshots. Cursor and Windsurf install from Open VSX instead, which isn't counted. Source
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Data through October 21, 2026 for 20 agents. npm downloads from the npm registry; OpenRouter app rankings from OpenRouter (CC BY 4.0); GitHub stars and VS Code installs from monthly snapshots in the Internet Archive and the live APIs; survey figures as published by Stack Overflow and JetBrains.