Scyta is a multi-agent file-system agent that provides intelligent file processing and information retrieval capabilities. It's designed to be a comprehensive solution for personal file management and information access, using a team of specialized AI agents to handle complex tasks.
*For context: this project was done before coding agents were cool.
Scyta.mov
- Multi-Agent System: Utilizes specialized agents that work concurrently to break down and solve complex requests.
- Intelligent File Operations: Automates file organization, metadata extraction, and operations for secure and efficient management.
- Dynamic Learning: Designed for agents to improve their performance over time based on interaction history and user feedback.
Scyta's power comes from its multi-agent architecture, where complex user prompts are delegated to a team of specialized agents. Each agent has a distinct role and can operate concurrently, collaborating to deliver a comprehensive result.
- Specialized Agents: Each agent is an expert in a specific domain (e.g., file operations, information retrieval, web browsing).
- Concurrent Processing: Multiple agents can work in parallel, drastically speeding up tasks that involve different domains (e.g., searching the web while organizing local files).
- Tool-Augmented Reasoning: Agents are equipped with specific tools to perform their tasks reliably and efficiently.
| Agent | Description | Key Functions |
|---|---|---|
| File Agent | Manages all interactions with the local file system. | Smart organization, permission-aware R/W/X, metadata extraction, secure file handling. |
| RAG Agent | Handles information retrieval from indexed documents. | FAISS vector indexing, Cohere-powered response generation, context-aware retrieval. |
| Internet Agent | Performs autonomous research and data gathering from the web. | Intelligent scraping, multi-source search, automatic summarization. |
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