affaan-m/ECC
ECC is a harness-native operator system designed for agentic AI work, providing a comprehensive solution with skills, memory optimization, security, and research-first development across multiple A...
Awesome AI Agents › Multi-Agent Frameworks
i-am-bee/beeai-framework
BeeAI Framework is a versatile and production-ready framework designed to build multi-agent AI systems in both Python and TypeScript. It enables developers to implement simple to complex multi-agent patterns using workflows, allowing full flexibility in orchestrating agents and defining their roles and behaviors. The framework supports seamless integration with various AI models and tools, including providers like Ollama, Groq, OpenAI, and watsonx.ai, as well as tools from LangChain. It also supports the Model Context Protocol for connecting to any server and allows the creation of custom tools. BeeAI Framework is built with production-grade controls to optimize token usage through configurable memory strategies, persist and restore agent states, generate structured outputs, and execute generated code in a sandboxed environment. It features an emitter system for tracking agent workflows and generating detailed events for monitoring and analysis, along with telemetry and logging capabilities for capturing diagnostic data. The framework handles errors gracefully with clear exceptions. It offers a quick start with a starter template and provides comprehensive documentation and examples for both Python and TypeScript users. The framework is actively maintained with frequent updates, including new modules, support for new AI models, and experimental features like Streamlit agents. Overall, BeeAI Framework is designed to empower developers to build scalable, flexible, and robust AI agent systems tailored to their specific use cases, making it suitable for a wide range of AI applications.
https://github.com/i-am-bee/beeai-framework
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