🤖 AgentCLI – AI Agents in Your Terminal

AgentCLI is a modular command-line tool that allows users to interact with powerful AI agents directly from their terminal. Built around the Gemini API by Google, AgentCLI enables smart interaction with local documents (like PDFs, text files, and markdown), allowing users to extract actionable insights, answer questions, and perform task-based automation — all with zero reliance on heavyweight frameworks like LangChain.

🎯 Target Audience

AgentCLI is designed for developers, researchers, and power users who want to harness AI agents through their terminal without the bloat of large frameworks.

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🧠 Project Idea

AgentCLI is designed as a lightweight and extensible CLI framework for developing and running AI agents. Each agent is built to handle a specific category of task using:

• Gemini’s generative capabilities for text understanding and reasoning
• Custom function calls to perform real-world actions
• Semantic search and retrieval over local files (RAG)

❓ Why This Project?

In a world dominated by complex orchestration frameworks, AgentCLI brings things back to basics — empowering developers to quickly prototype and run AI agents without hidden abstraction or unnecessary bloat.

🚀 Features

• Run task-specific agents directly from the terminal
• Perform semantic search and Q&A over local files (PDF, TXT, MD)
• Leverage function calling to automate tasks
• Modular, plug-and-play agent design — easy to extend
• Lightweight: no LangChain, minimal dependencies

The user runs agents using simple commands like:

python agentcli.py run ReminderAgent --file report.pdf
python agentcli.py run TutorAgent --file notes.md --level beginner
python agentcli.py ask FileAgent "What’s the due date for the project?" --file tasks.txt

🔧 Installation

Coming soon...

By Hasan