Usage ranking
AI coding agents by usage on October 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 481005.8M4132k2752k- npm 100 · 5.8M
- GitHub 41 · 32k
- VS Code 2 · 752k
- npm: 1005,805,186 downloads of @anthropic-ai/claude-code in the 7 days to Oct 1, 2025. That's the most of any agent in this source, so it scores 100. Source
- GitHub: 4132,130 stars on github.com/anthropics/claude-code on Sep 1, 2025. The leader here is Gemini CLI with 78k, so Claude Code scores 32k ÷ 78k × 100 = 41. Source
- VS Code: 2751,944 installs of the anthropic.claude-code extension on Sep 16, 2025. The leader here is GitHub Copilot with 40M, so Claude Code scores 752k ÷ 40M × 100 = 2. Source
Usage score: (100 + 41 + 2) ÷ 3 = 48. Claude Code website
2
Gemini CLIGoogle · open sourceUsage score 354232k10078k091k- npm 4 · 232k
- GitHub 100 · 78k
- VS Code 0 · 91k
- npm: 4231,684 downloads of @google/gemini-cli in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so Gemini CLI scores 232k ÷ 5.8M × 100 = 4. Source
- GitHub: 10077,576 stars on github.com/google-gemini/gemini-cli on Oct 1, 2025. That's the most of any agent in this source, so it scores 100. Source
- VS Code: 091,335 installs of the Google.gemini-cli-vscode-ide-companion extension on Sep 3, 2025. The leader here is GitHub Copilot with 40M, so Gemini CLI scores 91k ÷ 40M × 100 = 0. Source
Usage score: (4 + 100 + 0) ÷ 3 = 35. Gemini CLI website
3
GitHub CopilotGitHub · closed sourceUsage score 34157k–10040M- npm 1 · 57k
- VS Code 100 · 40M
- npm: 157,468 downloads of @github/copilot in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so GitHub Copilot scores 57k ÷ 5.8M × 100 = 1. Source
- VS Code: 10040,007,219 installs of the GitHub.copilot-chat extension on Sep 8, 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: (1 + 100) ÷ 3 = 34, divided by 3 rather than 2 because every agent's average counts at least 3 sources. GitHub Copilot website
4
ClineCline · open sourceUsage score 2402.7k6651k62.3M- npm 0 · 2.7k
- GitHub 66 · 51k
- VS Code 6 · 2.3M
- npm: 02,749 downloads of cline in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so Cline scores 2.7k ÷ 5.8M × 100 = 0. Source
- GitHub: 6650,972 stars on github.com/cline/cline on Oct 1, 2025. The leader here is Gemini CLI with 78k, so Cline scores 51k ÷ 78k × 100 = 66. Source
- VS Code: 62,345,153 installs of the saoudrizwan.claude-dev extension on Oct 1, 2025. The leader here is GitHub Copilot with 40M, so Cline scores 2.3M ÷ 40M × 100 = 6. Source
Usage score: (0 + 66 + 6) ÷ 3 = 24. Cline website
5
Codex CLIOpenAI · open sourceUsage score 213190k5946k2638k- npm 3 · 190k
- GitHub 59 · 46k
- VS Code 2 · 638k
- npm: 3190,451 downloads of @openai/codex in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so Codex CLI scores 190k ÷ 5.8M × 100 = 3. Source
- GitHub: 5945,626 stars on github.com/openai/codex on Oct 2, 2025. The leader here is Gemini CLI with 78k, so Codex CLI scores 46k ÷ 78k × 100 = 59. Source
- VS Code: 2638,141 installs of the openai.chatgpt extension on Sep 6, 2025. The leader here is GitHub Copilot with 40M, so Codex CLI scores 638k ÷ 40M × 100 = 2. Source
Usage score: (3 + 59 + 2) ÷ 3 = 21. Codex CLI website
6
Roo CodeRoo Code · open sourceUsage score 9–2620k2815k- GitHub 26 · 20k
- VS Code 2 · 815k
- GitHub: 2620,016 stars on github.com/RooCodeInc/Roo-Code on Oct 2, 2025. The leader here is Gemini CLI with 78k, so Roo Code scores 20k ÷ 78k × 100 = 26. Source
- VS Code: 2815,431 installs of the RooVeterinaryInc.roo-cline extension on Sep 4, 2025. The leader here is GitHub Copilot with 40M, so Roo Code scores 815k ÷ 40M × 100 = 2. Source
Not counted: npm, because it has no command-line package on npm.
Usage score: (26 + 2) ÷ 3 = 9, divided by 3 rather than 2 because every agent's average counts at least 3 sources. Roo Code website
7
Qwen CodeAlibaba · open sourceUsage score 5135k1512k–- npm 1 · 35k
- GitHub 15 · 12k
- npm: 135,061 downloads of @qwen-code/qwen-code in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so Qwen Code scores 35k ÷ 5.8M × 100 = 1. Source
- GitHub: 1511,837 stars on github.com/QwenLM/qwen-code on Sep 1, 2025. The leader here is Gemini CLI with 78k, so Qwen Code scores 12k ÷ 78k × 100 = 15. Source
Not counted: VS Code, because it has no VS Code extension.
Usage score: (1 + 15) ÷ 3 = 5, divided by 3 rather than 2 because every agent's average counts at least 3 sources. Qwen Code website
8
CrushCharm · open sourceUsage score 502.3k1512k–- npm 0 · 2.3k
- GitHub 15 · 12k
- npm: 02,274 downloads of @charmland/crush in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so Crush scores 2.3k ÷ 5.8M × 100 = 0. Source
- GitHub: 1511,997 stars on github.com/charmbracelet/crush on Sep 5, 2025. The leader here is Gemini CLI with 78k, so Crush scores 12k ÷ 78k × 100 = 15. Source
Not counted: VS Code, because it has no VS Code extension.
Usage score: (0 + 15) ÷ 3 = 5, divided by 3 rather than 2 because every agent's average counts at least 3 sources. Crush website
9
Kilo CodeKilo · open sourceUsage score 5001411k1350k- npm 0 · 0
- GitHub 14 · 11k
- VS Code 1 · 350k
- npm: 00 downloads of @kilocode/cli in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so Kilo Code scores 0 ÷ 5.8M × 100 = 0. Source
- GitHub: 1410,656 stars on github.com/Kilo-Org/kilocode on Oct 1, 2025. The leader here is Gemini CLI with 78k, so Kilo Code scores 11k ÷ 78k × 100 = 14. Source
- VS Code: 1350,152 installs of the kilocode.Kilo-Code extension on Sep 27, 2025. The leader here is GitHub Copilot with 40M, so Kilo Code scores 350k ÷ 40M × 100 = 1. Source
Usage score: (0 + 14 + 1) ÷ 3 = 5. Kilo Code website
10
AuggieAugment Code · closed sourceUsage score 1015k–1536k- npm 0 · 15k
- VS Code 1 · 536k
- npm: 014,899 downloads of @augmentcode/auggie in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so Auggie scores 15k ÷ 5.8M × 100 = 0. Source
- VS Code: 1536,481 installs of the augment.vscode-augment extension on Sep 15, 2025. The leader here is GitHub Copilot with 40M, so Auggie scores 536k ÷ 40M × 100 = 1. Source
Not counted: GitHub, because it has no public GitHub repo.
Usage score: (0 + 1) ÷ 3 = 1, divided by 3 rather than 2 because every agent's average counts at least 3 sources. Auggie website
11
OpenCodeAnomaly · open sourceUsage score 0146k–01.8k- npm 1 · 46k
- VS Code 0 · 1.8k
- npm: 146,436 downloads of opencode-ai in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so OpenCode scores 46k ÷ 5.8M × 100 = 1. Source
- VS Code: 01,847 installs of the sst-dev.opencode extension on Aug 13, 2025. The leader here is GitHub Copilot with 40M, so OpenCode scores 1.8k ÷ 40M × 100 = 0. Source
Not counted: GitHub, because there's no snapshot of its repo from around that day.
Usage score: (1 + 0) ÷ 3 = 0, divided by 3 rather than 2 because every agent's average counts at least 3 sources. OpenCode website
12
AmpSourcegraph · closed sourceUsage score 0014k–039k- npm 0 · 14k
- VS Code 0 · 39k
- npm: 014,218 downloads of @sourcegraph/amp in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so Amp scores 14k ÷ 5.8M × 100 = 0. Source
- VS Code: 038,707 installs of the sourcegraph.amp extension on Sep 15, 2025. The leader here is GitHub Copilot with 40M, so Amp scores 39k ÷ 40M × 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
13
piMario Zechner · open sourceUsage score 00008–- npm 0 · 0
- GitHub 0 · 8
- npm: 00 downloads of @mariozechner/pi-coding-agent in the 7 days to Oct 1, 2025. The leader here is Claude Code with 5.8M, so pi scores 0 ÷ 5.8M × 100 = 0. Source
- GitHub: 08 stars on github.com/badlogic/pi-mono on Sep 20, 2025. The leader here is Gemini CLI with 78k, so pi scores 8 ÷ 78k × 100 = 0. Source
Not counted: VS Code, because it has no VS Code extension.
Usage score: (0 + 0) ÷ 3 = 0, divided by 3 rather than 2 because every agent's average counts at least 3 sources. pi website
Not ranked that day, only one source has them: Aider (GitHub, 37k), Droid (npm, 10).
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 Oct 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 Oct 2, 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 Oct 1, 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.