Agent Communication

AgentMode

Enhance your coding AI's capabilities by seamlessly linking it to numerous databases, data warehouses, data pipelines, cloud platforms, and various services through a comprehensive server solution.

A2A Bridge

Integrates Google's Agent-to-Agent communication standard with MCP to facilitate agent identification, enrollment, communication, and operation coordination by converting protocols between A2A's JSON-RPC messaging and MCP's interface based on tools.

LLM Code Context

Facilitate efficient code review and documentation creation by enhancing code context sharing through intelligent file selection, code summarization, and cross-language compatibility within the Model Context Protocol (MCP).

LLM Gateway

Streamline the coordination of various LLM providers through a single gateway. Automatically choose models, employ semantic caching, and optimize costs for dependable production implementations.

Auth0

Easily connect with LLMs and AI assistants to streamline Auth0 management tasks through conversational commands. Simplify actions like creating new Auth0 applications and retrieving essential credentials by interacting naturally with your virtual assistant.

ACP Bridge

Facilitating connectivity between Agent Communication Protocol networks and MCP clients, the Model Context Protocol allows seamless interaction with intricate multi-agent processes. It offers advanced features such as smart agent identification, efficient message routing, and versatile message conversion supporting various execution modes like synchronous, asynchronous, and streaming.

BLAH (Barely Logical Agent Host)

Discover a collaborative platform for developing, testing, and distributing AI agent utilities. Benefit from a user-friendly graphical interface, virtual simulation features, and decentralized tool exploration functions.

Manus

Utilizing a TypeScript-driven interface, the Model Context Protocol (MCP) coordinates diverse agents to collaboratively execute tasks involving file operations, shell commands, and browser automation functions.

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.

LLM Completions

Access cutting-edge chat completion interfaces that are compatible with OpenAI technology.

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.

Unichat

Connect with various LLM chat APIs using a single streamlined platform.

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.

LLMling

Experience seamless YAML-configured settings for LLM tools, facilitating the intuitive creation of tailored environments incorporating resource allocation, command execution, and interactive prompts.