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Mentat
SWE Arena Rank #73

Mentat

AbanteAI/mentat · Author: @AbanteAI
Arena ELO
1320
±18
Total Stars
6.1k
+14.2% w/w
Monthly Traffic
210k/mo
0.2x vs median
Search Demand
38,000/mo
+142% YoY

12-Month Adoption & Star Velocity +14.2% w/w

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

Mentat Category Median
18k 9k 91 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 91 vs 4.4k med This Skill: 91 -4.3k vs Median Dec · 134 vs 5.0k med This Skill: 134 -4.9k vs Median Jan · 196 vs 5.7k med This Skill: 196 -5.5k vs Median Feb · 287 vs 6.5k med This Skill: 287 -6.2k vs Median Mar · 421 vs 7.3k med This Skill: 421 -6.9k vs Median Apr · 617 vs 8.4k med This Skill: 617 -7.7k vs Median May · 904 vs 9.5k med This Skill: 904 -8.6k vs Median Jun · 1.3k vs 10.8k med This Skill: 1.3k -9.5k vs Median Jul · 1.9k vs 12.3k med This Skill: 1.9k -10.3k vs Median Aug · 2.8k vs 13.9k med This Skill: 2.8k -11.1k vs Median Sep · 4.2k vs 15.8k med This Skill: 4.2k -11.7k vs Median Oct · 6.1k vs 18.0k med This Skill: 6.1k -11.9k vs Median
GROWTH VELOCITY
+14.2%
2.6x vs category median
ARENA ELO SCORE
1320
+128 vs category median
WEB VISITS MOMENTUM
210k/mo
0.2x category median
LATENCY EFFICIENCY
22ms
1.7x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Mentat holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +14.2% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Mentat

The AI coding assistant that lives in your terminal and coordinates directly with your Git repo.

Verified Real-World Production Workflow

Primary Implementation:

Query and modify code across multiple directories with conversational CLI commands and interactive diff confirmation.

Engine Stack & Dependencies:

Python, GitPython, Tree-sitter AST, Streaming parser.

Target Persona & Role Fit

Terminal SWE Specialists

Engineered and benchmarked specifically for Terminal SWE Specialists demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/AbanteAI/mentat

Technical Specification (ASD-STE100)

The AI coding assistant that lives in your terminal and coordinates directly with your Git repo.
Architecture: Python, GitPython, Tree-sitter AST, Streaming parser.

Domain Tags & Keywords

#terminal-swe#cli-agent#git-integration#python

Compute Efficiency Profile

P95 EXECUTION LATENCY
22ms
1.7x faster than median
TOKEN EFFICIENCY SAVINGS
-94%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
89%
Arena paired matches
Monthly Documentation & Site Visits
210k/mo
Measured via Traffic Research bypass engine (0.2x category median)
Google Search Keyword Demand
38,000/mo
+142% YoY expansion

6-Month Web Traffic Velocity

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

Mentat Median
850k 441k 32k MayJunJulAugSepOct May · 31.5k vs 680.0k med This Skill: 31.5k -648.5k vs Median Jun · 31.5k vs 714.0k med This Skill: 31.5k -682.5k vs Median Jul · 75.8k vs 748.0k med This Skill: 75.8k -672.2k vs Median Aug · 120.5k vs 782.0k med This Skill: 120.5k -661.5k vs Median Sep · 165.3k vs 816.0k med This Skill: 165.3k -650.7k vs Median Oct · 210.0k vs 850.0k med This Skill: 210.0k -640.0k vs 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.

1320
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +103 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +109 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +123 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +134 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +133 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +122 vs Median
WIN RATE
89%
Head-to-head
WEEKLY SURGE
+14.2%
Adoption velocity
P95 LATENCY
22ms
Execution speed
TOKEN OVERHEAD
-94%
Context saved

Head-to-Head Comparison — Mentat 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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