KiboServe

About

KiboServe is a Python framework designed to build and deploy AI agents using a single codebase, exposing them via industry-standard protocols like HTTP, Model Context Protocol (MCP), and Agent-to-Agent (A2A). It provides robust features such as API key authentication, structured JSON logging with LLM usage metadata, health checks, and task management. Furthermore, its optional KiboStudio integration offers advanced observability, prompt management, LLM-as-Judge evaluation, and agent discovery, significantly streamlining the development and operation of multi-agent systems.

Key Features

• Deploy AI agents across HTTP, MCP, and A2A communication protocols
• Integrated KiboStudio for observability, tracing, and agent discovery
• Comprehensive prompt management and LLM-as-Judge evaluation capabilities
• Built-in API key authentication and structured LLM usage logging
• Support for streaming responses via Server-Sent Events (SSE)
• 0 GitHub stars

Use Cases

• Building and deploying RESTful AI agent APIs for web and mobile applications.
• Creating tool-based agents discoverable by IDEs and other agents via MCP.
• Developing multi-agent systems for sophisticated inter-agent communication and collaboration.