General Agentic Memory (GAM) Skill

Skill by ara.so — AI Agent Skills collection.

Overview

GAM (General Agentic Memory) is a modular agentic file system framework that provides structured memory and operating environments for Large Language Models. It supports text, video, and long-horizon agent trajectories with four access methods: Python SDK, CLI, REST API, and Web Platform.

Key Capabilities

• Intelligent Chunking: LLM-based semantic text segmentation
• Memory Generation: Structured memory summaries (Memory + TLDR) for each chunk
• Hierarchical Organization: Automatic taxonomy-based directory structures
• Incremental Updates: Append new content without rebuilding
• Multi-modal: Text documents, videos, and agent trajectories
• Flexible Backends: OpenAI, SGLang, and other inference engines

Installation