An AI-native API testing platform built on Model Context Protocol (MCP) that generates mock servers from OpenAPI v2/v3 specs. Supports Mock/Proxy/Hybrid modes with 50 MCP capabilities, integrates with LangGraph/CrewAI/LangChain, and provides enterprise-grade audit logging and performance analytics.
Secure, cloud-sandboxed Recursive Language Models (RLM) framework with DSPy and Modal for long-context code and document processing, offering Web UI, CLI, HTTP API, WebSocket, and MCP Server interfaces.
An all-in-one AI agent toolkit featuring a unified LLM API (15+ providers with subscription-based login), interactive coding agent CLI with tree-structured sessions and steering/follow-up messaging, agent runtime, terminal/Web UI libraries, and vLLM deployment utilities.
A modern AI gateway system that provides a unified OpenAI, Anthropic, Gemini and AI SDK compatible API, enabling seamless integration across multiple AI providers with automatic request translation and comprehensive tracing capabilities.
Council is an open-source platform for the rapid development and robust deployment of customized generative AI applications, providing a unified interface for working with different LLM providers and built-in monitoring capabilities.
Metorial is an open-source integration platform for agentic AI. It connects any AI model to 600+ APIs, data sources, and tools through the Model Context Protocol (MCP), providing a unified interface and powerful SDKs.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI.
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