BLAH (Barely Logical Agent Host)

OpenRouter

Experience seamless integration of various AI models through the OpenRouter platform, enhancing adaptability in selecting and utilizing models for a wide range of applications such as chatbots and content creation.

OpenAI Agents

Discover the full potential of OpenAI's agent capabilities for enhancing web search, file exploration, and computer operations. Harnessing specialized agents and a dynamic multi-agent orchestrator, this protocol efficiently manages tasks by coordinating between different agents as needed.

A2AMCP

Facilitates collaboration among AI agents on common projects using a Redis-based system for instant communication, file protection against concurrent modifications, shared interfaces for defining types, and managing tasks across concurrent coding sessions efficiently.

DebuggAI

Easily conduct end-to-end testing for web apps with a Model Context Protocol (MCP). It enables secure connections to local servers, deploys testing agents for intuitive interaction with interfaces using natural language commands. Get comprehensive test outcomes including execution logs and screen captures.

Letta

Employs the Letta API for seamless incorporation and control of agents, memory sections, and utilities to enhance sophisticated AI-driven engagements and memory administration.

AgentRPC

Facilitate seamless communication between AI agents with a versatile Remote Procedure Call (RPC) framework. Easily integrate diverse functions, programming languages, and development frameworks within minutes.

Mindbridge

Connects various leading LLM providers such as OpenAI, Anthropic, Google, DeepSeek, OpenRouter, and Ollama via a consolidated interface. This allows for analyzing responses, comparing results, and harnessing unique reasoning strengths from diverse models.

Brightsy

Enhance your system with seamless task automation, natural language processing, and interactive chat features through a Model Context Protocol (MCP). Bridge your OpenAI-compatible agent to enable smooth integration within diverse applications and systems.

Thinking Tool

Enhance transparency in AI systems by logging and documenting the AI decision-making process, facilitating debugging, auditing decision paths, and enhancing overall system accountability.

OpenAI Agents SDK

Explore the comprehensive Model Context Protocol (MCP) offering seamless navigation to the OpenAI Agents SDK resources, including documentation and GitHub repository. Benefit from advanced search features, content access, and illustrative code samples, all supported by efficient caching techniques. Ideal for developers seeking uninterrupted access to valuable functionalities.

MLflow Agent

Facilitates interaction with MLflow tracking servers via a user-friendly natural language interface, enabling streamlined management of machine learning experiments and models. Includes standardized features for listing models, tracking experiments, and monitoring system status.

CrewAI (Near Intents)

Utilizing the CrewAI platform alongside the OpenAI API, this protocol facilitates the coordination of multi-agent processes to streamline tasks such as research, data analysis, and problem-solving in various fields.

AI Meta Tool Creator

Empower artificial intelligence systems to efficiently generate, run, and oversee personalized utilities within a protected sandbox setting, supporting JavaScript, Python, or shell scripting along with persistent data storage functions.

ToolBox

Platform for building AI-driven automation tools.

Agent Communication

Facilitate seamless teamwork among diverse LLM agents on various platforms via a server built on TypeScript. This server manages agent sign-up, real-time communication, task synchronization, and context exchange, supported by GitHub integration for intricate operations.