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.

GemSuite MCP is the most comprehensive Gemini API integration server. It provides optimal performance, lowest token cost, and seamless integration through intelligent model selection, and supports various file processing and complex tasks.

GemSuite MCP is the most comprehensive Gemini API integration server, achieving optimal performance and lowest cost through intelligent model selection, supporting multi-file processing and complex task analysis.

Mnemo is an MCP service that provides extended memory for AI assistants. Through the context caching function of Gemini, it allows assistants to load large code libraries, documents, PDFs and other materials and conduct natural - language queries, achieving perfect information recall with low cost and low latency.

LCBro is a low - cost browser automation MCP server that supports Playwright and Chrome DevTools protocols, provides intelligent data preprocessing and remote browser management functions, and can reduce the cost of calling the LLM API by up to 80%.

LLM Gateway is a server based on the MCP protocol that supports advanced AI agents (such as Claude 3.7) to intelligently delegate tasks to lower - cost LLM models (such as Gemini Flash), achieving cost optimization and performance balance.

Moonbridge is an MCP server that allows multiple AI coding agents (supporting backends such as Kimi, Codex, OpenCode, Gemini) to be generated in parallel from MCP clients such as Claude Code and Cursor, used to try multiple code solutions simultaneously, enabling parallel exploration and task execution at a lower cost.

A low-cost, no-code AI SaaS building platform based on Raspberry Pi that enables everyone to develop complete SaaS applications with a device costing $480, including browser automation testing and AI-assisted development features.