HelloAgents provides a lightweight, educational multi-agent framework built on OpenAI's native API. It targets developers and researchers learning agent paradigms, simplifying complex components like memory and RAG into a unified "Tool" abstraction. This approach facilitates rapid understanding and implementation of agent-tool interaction, making it ideal for pedagogical purposes and quick prototyping.

How It Works

HelloAgents adopts a minimalist architecture where all functionalities beyond the core Agent class are treated as Tools. Modules like Memory, RAG, RL, and Protocols are abstracted into this unified "Tool" concept. This design choice eliminates unnecessary abstraction layers, allowing users to focus on the fundamental logic of agents invoking tools, thereby promoting intuitive learning and efficient development.

Quick Start & Requirements

• Primary Install: pip install hello-agents[all] for full functionality. Source install: git clone https://github.com/jjyaoao/hello-agents.git && cd hello-agents && pip install -e .[all]
• Prerequisites: Python 3.10+. Requires API keys and model details configured via a .env file (e.g., LLM_MODEL_ID, LLM_API_KEY, LLM_BASE_URL).
• Configuration: Supports automatic detection for various LLM providers including OpenAI, ModelScope, Ollama, and others via environment variables or a unified .env format.
• Links: Project repository (implied by name), CONFIGURATION.md (mentioned for detailed setup).

Highlighted Details

• Features distinct agent paradigms: ReActAgent (reasoning + action), ReflectionAgent (iterative refinement), and PlanAndSolveAgent (decomposition and execution).
• Offers a flexible tool system supporting built-in tools (Search, Calculator) and custom Python function registration.
• Provides automatic LLM provider detection, simplifying integration with diverse LLM backends.
• Includes interactive examples demonstrating agent types, tool usage, and streaming responses.

Maintenance & Community

The provided README does not contain specific details regarding maintainers, community channels (like Discord/Slack), sponsorships, or a public roadmap. Contribution guidelines are outlined, welcoming forks and pull requests.

Licensing & Compatibility

The project is licensed under CC BY-NC-SA 4.0. This license requires attribution, mandates that derivative works use the same license (ShareAlike), and crucially, prohibits commercial use (NonCommercial). Commercial use requires explicit contact with the project maintainer for authorization.

Limitations & Caveats

The CC BY-NC-SA 4.0 license strictly prohibits commercial application, limiting adoption to research, educational, or personal projects. The framework's primary focus on teaching may mean certain advanced enterprise features or robust production-readiness aspects are less emphasized compared to commercially-focused frameworks.