Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

An MCP server for batch - reading memory bank files, which reduces the frequency of AI tool calls and saves time and costs by loading all files in the directory at once.

Gemini Bridge is a lightweight MCP server that connects AI programming assistants to Google Gemini AI through the official CLI, supporting multi - client interaction without API costs.

Codex Bridge is a lightweight MCP server that connects AI programming assistants with OpenAI Codex through the official CLI, supporting multi - client interaction without API costs.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

The Context Engineering MCP Platform is an AI context management and optimization platform that designs, manages, and optimizes the input information of AI models through a systematic approach, realizing the engineering of prompt engineering. The platform provides functions such as intelligent analysis engines, optimization algorithms, and template management, significantly improving AI response quality, reducing API costs, and supporting multimodal content processing.

The UniAuto MCP Server is a general test automation server integrated with AI capabilities, featuring a multi-layer self-healing mechanism, visual intelligence, and cross-platform support. It can significantly reduce test maintenance costs and improve test resilience.