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ChatMCP is a cross‑platform AI chat client that implements the Model Context Protocol (MCP) to provide unified chat experiences across environments—including desktop, mobile, and web—with synchronization and protocol support tailored for MCP. You can install MCP Server from MCP Server Market, MCP Server Market is a collection of MCP Server, you can use it to chat with different data. Tested on major distributions: Ubuntu, Fedora, Arch Linux, openSUSE. Improved Experience: Latest versions...

...In effect, AP2 aims to define a secure, interoperable protocol that allows software agents to act on behalf of users—making payments or shopping decisions autonomously—while preserving necessary security, auditability, and trust. The repository contains sample scenarios (in Python, Android, etc.) that illustrate how agents, servers, and payments flows would work under the protocol. It includes “types” definitions (the core message and object schema) and example agent implementations to demonstrate the mechanics of agent-to-agent and agent-to-server interactions. The design emphasizes flexibility: although their samples use a particular Agent Development Kit (ADK) or runtime, the protocol is intended to be independent of those choices.

Klavis AI is a Y Combinator X25-backed open-source infrastructure platform that enables AI agents to reliably connect with external tools and services at scale through Model Context Protocol (MCP). Founded by ex-Google DeepMind and ex-Lyft engineers, Klavis provides 50+ production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more. The flagship product Strata solves tool overload through progressive discovery, achieving +13% higher...

The universe-starter-agent repository is an archived OpenAI codebase designed as a starter reinforcement-learning agent that can interact with and solve tasks in OpenAI’s Universe environment platform. Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements...

Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki.