ddgs is a metasearch engine and web content extractor that provides a toolkit for programmatically retrieving search results from DuckDuckGo. It functions as a search API server and a Model Context Protocol server to integrate web search capabilities directly into large language model environments. The project distinguishes itself by aggregating text, image, news, and video results from multiple providers into a single interface. It includes a utility for fetching URLs and converting HTML content into markdown, plain text, or structured data. The system covers a broad range of search capabil
MemMachine is a centralized memory management server and model-agnostic memory layer for large language models. It functions as a persistence layer that stores user profiles and conversational context, providing a decoupled data store that prevents vendor lock-in by serving different AI models through a consistent API. The system implements the Model Context Protocol to share persistent agent memories and session data with compatible AI clients. It utilizes a multi-tiered memory hierarchy, combining a graph-based conversation store for episodic interactions with a vector knowledge base for se
Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist
This project is a Model Context Protocol server that provides large language models with neural web search and webpage content extraction capabilities. It implements a standardized interface to expose research tools and resources to compatible clients.
The main features of exa-labs/exa-mcp-server are: Model Context Protocol Implementations, Deep Research Execution, MCP Servers, Real-Time Web Search Integrations, Search Engine APIs, Semantic Search Engines, Markdown Converters, Web Search Engines.
Open-source alternatives to exa-labs/exa-mcp-server include: deedy5/ddgs — ddgs is a metasearch engine and web content extractor that provides a toolkit for programmatically retrieving search… memmachine/memmachine — MemMachine is a centralized memory management server and model-agnostic memory layer for large language models. It… langroid/langroid — Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI… fatwang2/search1api-mcp — 中文文档. mark3labs/mcp-go — mcp-go is a Go implementation of the Model Context Protocol (MCP) providing an SDK and framework for building servers… modelcontextprotocol/inspector — The inspector is a diagnostic and validation tool for the Model Context Protocol. It provides an interactive interface…