Previous: AutoAWQ Rank #81 of 300 Skills Next: Agenta

SWE Arena Rank #81

Goose

block/goose · Author: @block

View on GitHub

Arena ELO

1295

±20

Total Stars

55.0k

+343.7% w/w

Monthly Traffic

450k/mo

0.5x vs median

Search Demand

85,000/mo

+165% YoY

Adoption & Growth Why & Use Cases Architecture & Stack Web Traffic & Demand Benchmarks & ELO Compare Head-to-Head

12-Month Adoption & Star Velocity +343.7% w/w

Empirical star trajectory for Goose vs Category Median benchmark. Hover along points to inspect exact monthly stats.

Goose Category Median

GROWTH VELOCITY

+343.7%

2.5x vs category median

ARENA ELO SCORE

1295

+103 vs category median

WEB VISITS MOMENTUM

450k/mo

0.5x category median

LATENCY EFFICIENCY

32ms

1.2x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Goose holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +343.7% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Goose

Open-source extensible AI agent that automates complex engineering tasks and interacts with the host filesystem.

Verified Real-World Production Workflow

Primary Implementation:

Run autonomous build, lint, and deploy workflows from the CLI with verified MCP server extensions.

Engine Stack & Dependencies:

Rust, MCP protocol integration, Local IPC, Vector memory.

Target Persona & Role Fit

Full-Stack Software Engineers

Engineered and benchmarked specifically for Full-Stack Software Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/block/goose

Technical Specification (ASD-STE100)

Open-source extensible AI agent that automates complex engineering tasks and interacts with the host filesystem.

Architecture: Rust, MCP protocol integration, Local IPC, Vector memory.

Domain Tags & Keywords

#cli-agent#rust#mcp-client#automation

Compute Efficiency Profile

P95 EXECUTION LATENCY

32ms

1.2x faster than median

TOKEN EFFICIENCY SAVINGS

-84%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

85%

Arena paired matches

Monthly Documentation & Site Visits

450k/mo

Measured via Traffic Research bypass engine (0.5x category median)

Google Search Keyword Demand

85,000/mo

+165% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

Goose Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1295

±20 CI

WIN RATE

85%

Head-to-head

WEEKLY SURGE

+343.7%

Adoption velocity

P95 LATENCY

32ms

Execution speed

TOKEN OVERHEAD

-84%

Context saved

Head-to-Head Comparison — Goose vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

Compare with:

Popular Direct Comparisons in Category:

Previous: AutoAWQ Return to Arena Leaderboard Next: Agenta