agentsdb-patterns

What problem does it solve?

AgentDB Patterns provide a structured approach to building and refining self-learning agent workflows by capturing trajectories, recognizing patterns, and delivering actionable insights for future runs.

Core Features & Use Cases

• Trajectory logging: records sequences of actions and outcomes to identify successful patterns.
• Pattern learning: derives reusable workflows from historical trajectories to accelerate future work.
• AI-assisted recommendations: suggests next steps based on learned history and patterns.

Quick Start

Start a trajectory to log a learning workflow and capture steps for future pattern discovery.