affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
Klavis-AI/klavis
Klavis AI is an open-source platform designed to provide production-ready Model Context Protocol (MCP) servers and clients, facilitating seamless integration and scaling of AI applications across multiple platforms. The platform offers hosted, secure MCP servers that eliminate the need for managing authentication and client-side code, making it easier for developers to integrate AI functionalities into their applications. Klavis AI supports instant integration through Python and TypeScript SDKs or a REST API, enabling quick setup and deployment. Key features of Klavis AI include built-in authentication with secure OAuth flows and API key management, production-ready hosted infrastructure capable of scaling to millions of users, and access to over 100 tools such as CRM, GSuite, Github, Slack, and various databases. The platform is multi-platform compatible, working with any large language model (LLM) provider like OpenAI, Anthropic, Gemini, and any AI agent framework including LangChain, Llamaindex, CrewAI, and AutoGen. Additionally, Klavis AI is self-hostable, allowing users to run their own MCP servers if desired. The platform provides comprehensive examples and tutorials for integrating with AI platforms, including Together AI and OpenAI, demonstrating how to create AI agents using Klavis MCP servers. It supports function calling integration directly with LLM providers or AI agent frameworks, enabling advanced interactions such as tool calls within conversations. The project is actively maintained with a roadmap for expanding the MCP server ecosystem and adding more integrations and documentation. Overall, Klavis AI simplifies the development and deployment of AI applications by providing a robust, scalable, and secure MCP infrastructure with extensive tool support and multi-platform compatibility, making it a valuable resource for developers building AI-powered solutions.
https://github.com/Klavis-AI/klavis
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