raga-ai-hub/RagaAI-Catalyst
RagaAI Catalyst is a Python SDK platform for observability, monitoring, and evaluation of AI agents and LLM projects, featuring tracing, debugging, advanced analytics, and project management tools.
Awesome AI Agents › Agent Monitoring Tools
Isek is a decentralized agent network framework designed to build intelligent, collaborative agent-to-agent (A2A) systems powered by large language models (LLMs). The project enables autonomous agents to discover peers, share context, and cooperatively solve tasks, forming a self-organizing decentralized society without a single point of failure. It supports distributed deployment across multiple nodes or cloud environments, ensuring scalability and robustness. Isek integrates with LLMs such as OpenAI's models to enhance natural interaction and reasoning capabilities among agents. The framework is modular and extensible, allowing developers to customize agents, add new models, and extend functionalities easily. It also provides a developer-friendly command-line interface (CLI) for streamlined agent setup, control, and management. The project is actively developed and encourages contributions, feedback, and experimentation from the community. Installation requires Python 3.9 or higher, and the setup involves configuring environment variables for OpenAI API access, starting a registry service, and launching agents that can interact via the CLI. The project structure includes core modules for agent logic, embedding systems, node orchestration, LLM backends, utilities, and configuration management. Isek aims to empower developers and researchers to prototype, deploy, and manage decentralized intelligent agent networks efficiently, promoting cooperation at scale rather than isolated autonomy. The project is licensed under the MIT License and welcomes collaboration through GitHub issues and direct contact with the team.
https://github.com/isekOS/ISEK
RagaAI Catalyst is a Python SDK platform for observability, monitoring, and evaluation of AI agents and LLM projects, featuring tracing, debugging, advanced analytics, and project management tools.
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