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AgentOps
SWE Arena Rank #28

AgentOps

AgentOps-AI/agentops · Author: @AgentOps-AI
Arena ELO
1275
±20
Total Stars
5.9k
+22.6% w/w
Monthly Traffic
190k/mo
0.2x vs median
Search Demand
42,000/mo
+240% YoY

12-Month Adoption & Star Velocity +22.6% w/w

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

AgentOps Category Median
18k 9k 50 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 50 vs 4.4k med This Skill: 50 -4.4k vs Median Dec · 59 vs 5.0k med This Skill: 59 -4.9k vs Median Jan · 93 vs 5.7k med This Skill: 93 -5.6k vs Median Feb · 148 vs 6.5k med This Skill: 148 -6.3k vs Median Mar · 234 vs 7.3k med This Skill: 234 -7.1k vs Median Apr · 371 vs 8.4k med This Skill: 371 -8.0k vs Median May · 589 vs 9.5k med This Skill: 589 -8.9k vs Median Jun · 933 vs 10.8k med This Skill: 933 -9.9k vs Median Jul · 1.5k vs 12.3k med This Skill: 1.5k -10.8k vs Median Aug · 2.3k vs 13.9k med This Skill: 2.3k -11.6k vs Median Sep · 3.7k vs 15.8k med This Skill: 3.7k -12.1k vs Median Oct · 5.9k vs 18.0k med This Skill: 5.9k -12.1k vs Median
GROWTH VELOCITY
+22.6%
3.1x vs category median
ARENA ELO SCORE
1275
+83 vs category median
WEB VISITS MOMENTUM
190k/mo
0.2x category median
LATENCY EFFICIENCY
18ms
2.1x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, AgentOps holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +22.6% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose AgentOps

Python SDK for AI agent monitoring, observability, session replay, and deterministic regression testing.

Verified Real-World Production Workflow

Primary Implementation:

Record step-by-step agent tool calls, API spend, and failure modes with visual time-travel debugging.

Engine Stack & Dependencies:

Python, Session Tracing, REST telemetry, React dashboard.

Target Persona & Role Fit

Autonomous SWE & Systems Devs

Engineered and benchmarked specifically for Autonomous SWE & Systems Devs demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/AgentOps-AI/agentops

Technical Specification (ASD-STE100)

Python SDK for AI agent monitoring, observability, session replay, and deterministic regression testing.
Architecture: Python, Session Tracing, REST telemetry, React dashboard.

Domain Tags & Keywords

#agent-observability#debugging#telemetry#ai-evaluation

Compute Efficiency Profile

P95 EXECUTION LATENCY
18ms
2.1x faster than median
TOKEN EFFICIENCY SAVINGS
-94%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
83%
Arena paired matches
Monthly Documentation & Site Visits
190k/mo
Measured via Traffic Research bypass engine (0.2x category median)
Google Search Keyword Demand
42,000/mo
+240% YoY expansion

6-Month Web Traffic Velocity

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

AgentOps Median
850k 439k 29k MayJunJulAugSepOct May · 28.5k vs 680.0k med This Skill: 28.5k -651.5k vs Median Jun · 28.5k vs 714.0k med This Skill: 28.5k -685.5k vs Median Jul · 46.4k vs 748.0k med This Skill: 46.4k -701.6k vs Median Aug · 94.2k vs 782.0k med This Skill: 94.2k -687.8k vs Median Sep · 142.1k vs 816.0k med This Skill: 142.1k -673.9k vs Median Oct · 190.0k vs 850.0k med This Skill: 190.0k -660.0k 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.

1275
±20 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +58 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +64 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +78 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +89 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +88 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +77 vs Median
WIN RATE
83%
Head-to-head
WEEKLY SURGE
+22.6%
Adoption velocity
P95 LATENCY
18ms
Execution speed
TOKEN OVERHEAD
-94%
Context saved

Head-to-Head Comparison — AgentOps 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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