alma-memory

What problem does it solve?

This Skill helps AI agents learn and adapt by automatically indexing past execution histories, extracting patterns, and enabling semantic search over previous runs, preventing repeated mistakes and improving efficiency.

Core Features & Use Cases

• Run Indexing: Creates an searchable index of past agent/team executions.
• Pattern Extraction: Identifies successful and failed patterns from execution logs.
• Semantic Search: Leverages embeddings to find semantically similar past runs.
• Use Case: Before starting a complex debugging task, an agent can use this Skill to search for similar past debugging sessions, identify common failure patterns, and reference successful solutions, thereby accelerating the current task.

Quick Start

Use the alma-memory skill to find similar past runs for the current task.