Agent Ecosystem
Build research and standards infrastructure to mature the agent ecosystem into reliable, long-lived tooling for software development.
At a Glance
- AI Infrastructure Providers
- Developer Tooling Companies
- Open Source Projects
AI Tools by Agent Ecosystem
(1)Agent Reading Test
AI Agent Doc Reading Benchmark
Discussions
No discussions yet
Be the first to start a discussion about Agent Ecosystem
Latest News
The Specification Gap: Coordination Failure under Partial Knowledge in Code Agent research published
Report: AI Coding Tools Have Broad Filesystem and Network Access
Analysis: Cursor Admits Its New Coding Model Was Built on Top of Moonshot AI’s Kimi
Sashiko AI Code Review System for the Linux Kernel Spots Bugs Humans Miss
Products & Services
A 22-check specification designed to make software documentation reliable for consumption by LLM-based coding agents.
An open-source CLI tool and library (available via npm) for auditing and validating documentation against the Agent-Friendly Spec.
A comprehensive research output analyzing the quality and implementation of hundreds of public Agent Skills.
A research and commentary platform providing daily updates and analysis on the agent ecosystem.
Market Position
Independent research organization providing standards (Agent-Friendly Docs Spec) that act as a neutral ground for the fragmented AI agent ecosystem.
Leadership
Founders
Dachary Carey
Lead Researcher at Agent Ecosystem; Senior Documentation Infrastructure and Developer Experience expert, currently at MongoDB.
Kay Rhodes
Developer at Agent Ecosystem; experienced software engineer.
Rhyannon Rodriguez
Researcher and 'Poker-of-Things' at Agent Ecosystem; based in the Greater Seattle Area, focused on empirical testing of agentic docs.
Executive Team
Dachary Carey
Lead Researcher
Specialist in developer experience and documentation infrastructure.
Kay Rhodes
Developer
Software developer focused on open-source tooling and standards.
Founding Story
Started to address the lack of standards and infrastructure in how AI agents interact with documentation and tools, aiming to improve documentation quality and ecosystem health through open-source specs.
Business Model
Revenue Model
Sponsorship-based model supporting open-source research and standards development.
Pricing Tiers
Includes logo attribution, early research access, quarterly briefings, and one custom analysis per quarter.
Includes all Sustaining benefits plus co-branded report options, raw data access, and invitation to shape the annual research roadmap.
Target Markets
- AI Infrastructure Providers
- Developer Tooling Companies
- Open Source Projects
- Auditing documentation for AI agent compatibility
- Evaluating the quality of public Agent Skills
- Developing standards for AI-powered developer tools
- Sponsors