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SWE Arena Rank #82

Agenta

Agenta-AI/agenta · Author: @Agenta-AI

View on GitHub

Arena ELO

1260

±22

Total Stars

4.8k

+50.4% w/w

Monthly Traffic

140k/mo

0.2x vs median

Search Demand

28,000/mo

+160% YoY

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

12-Month Adoption & Star Velocity +50.4% w/w

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

Agenta Category Median

GROWTH VELOCITY

+50.4%

2.5x vs category median

ARENA ELO SCORE

1260

+68 vs category median

WEB VISITS MOMENTUM

140k/mo

0.2x category median

LATENCY EFFICIENCY

22ms

1.7x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Agenta holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +50.4% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Agenta

Developer-first open-source LLMOps platform for prompt engineering, versioning, automated evaluation, and staging.

Verified Real-World Production Workflow

Primary Implementation:

Collaboratively test prompt variations and custom LLM parameters against golden test suites in a unified web playground.

Engine Stack & Dependencies:

FastAPI, Next.js, Docker runner, MongoDB.

Target Persona & Role Fit

LLMOps & Prompt Engineers

Engineered and benchmarked specifically for LLMOps & Prompt Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/Agenta-AI/agenta

Technical Specification (ASD-STE100)

Developer-first open-source LLMOps platform for prompt engineering, versioning, automated evaluation, and staging.

Architecture: FastAPI, Next.js, Docker runner, MongoDB.

Domain Tags & Keywords

#llmops#prompt-engineering#evaluation-platform#playground

Compute Efficiency Profile

P95 EXECUTION LATENCY

22ms

1.7x faster than median

TOKEN EFFICIENCY SAVINGS

-91%

Measured via context pruning

HEAD-TO-HEAD WIN RATE

81%

Arena paired matches

Monthly Documentation & Site Visits

140k/mo

Measured via Traffic Research bypass engine (0.2x category median)

Google Search Keyword Demand

28,000/mo

+160% YoY expansion

6-Month Web Traffic Velocity

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

Agenta 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.

1260

±22 CI

WIN RATE

81%

Head-to-head

WEEKLY SURGE

+50.4%

Adoption velocity

P95 LATENCY

22ms

Execution speed

TOKEN OVERHEAD

-91%

Context saved

Head-to-Head Comparison — Agenta vs 300 Skills

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

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