Agent Data Protocol
Standardizing Agent Interaction Data
A comprehensive framework for collecting, processing, and sharing agent interaction data across multiple platforms and datasets. Enabling reproducible research and seamless integration of agent behaviors.
Key Features
Standardized Format
Unified data structure for agent interactions across different platforms and environments.
Easy Integration
Simple integration with existing datasets / agent frameworks.
Scalable Architecture
Designed to handle large-scale data collection and processing efficiently.
Action Tracking
Comprehensive collection of agent actions including tool calls, code generation, etc.
Observation Capture
Detailed recording of environment states, responses, and feedback for complete interaction context.
Reasoning Traces
Capture agent thought processes, planning steps, and decision-making rationale.
Quality Assurance and Analysis
Enable quality assurance and analysis across different datasets.
Open Source Development and Contributions
Open-source development with contributions from the research community.
Reduced Community Effort
Replace many-to-many dataset to agent conversion with one-time adapters, reducing redundant engineering across projects.