Tracking and scoring the global AI agent ecosystem across autonomy, security, ecosystem strength, and execution control.
The critical developments shaping agent strategy in 2026 — each backed by verified data.
Creator Peter Steinberger joins OpenAI. OpenClaw moves to independent foundation with OpenAI backing. 185K GitHub stars in 6 weeks — fastest open-source agent adoption ever recorded. But: 512 vulnerabilities found in January audit.
72.7% on OSWorld (autonomous computer use), 80.8% SWE-bench, 65.4% Terminal-Bench. Anthropic now holds the highest published score for autonomous computer control — but lacks a first-party agent framework.
Gartner: 5% of enterprise apps used AI agents in 2024 → projected 40% by end of 2026. This isn't experimental anymore. Enterprises are deploying agents in production workflows at scale.
OpenClaw: 512 vulnerabilities (Kaspersky), 40,214 exposed instances (SecurityScorecard), 3 published CVEs. The gap between agent capability and agent security is widening — and enterprises are noticing.
Anthropic's Model Context Protocol: 10,000+ public servers, adopted by ChatGPT, Cursor, Gemini, VS Code, Copilot. Now under Linux Foundation governance. The tool layer is standardizing — the orchestration layer is not.
Numbers without context are decoration. Here's what these actually mean.
Three indices measuring maturity, risk, and ecosystem power. Each score is decomposable, evidence-linked, and confidence-labeled.
All data sourced from verified reports. Hover for details. Confidence levels noted per chart.
Two visualizations: a strategic 2×2 matrix and a full ecosystem map.
9 frameworks scored across 6 radar dimensions + 3 proprietary indices. Click any row to expand intelligence detail.
| Framework | AMI | ARI | EPI | Reasoning | Ecosystem | Security | Autonomy |
|---|
Choose your architecture. Each approach has different tradeoffs for security, speed, and control.
Enterprise vs. solo founder. Cloud vs. local. Speed vs. security. Here's the decision framework.