MockLoop MCP
✨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.
Model & Inference FrameworkMulti-Agent SystemAI Agents
keep (keep-skill)
✨Reflective memory for AI agents — semantic storage with multi-format ingestion, intent tracking, and cross-session context persistence.
Docs, Tutorials & ResourcesRAGModel Context Protocol
Mengram
✨Human-like memory layer for AI agents featuring semantic, episodic, and procedural memory with failure-driven workflow evolution. Offers Python/JS SDKs, REST API, and LangChain/CrewAI integrations.
Docs, Tutorials & ResourcesRAGModel Context Protocol
ARK - Agentic Runtime for Kubernetes
✨A Kubernetes-based AI Agent runtime platform released by McKinsey, codifying patterns for deploying, orchestrating, and evaluating agentic resources via CRDs, providing production-grade infrastructure for multi-agent systems. Currently in Technical Preview.
SDKModel Context ProtocolMulti-Agent System
MermaidTrace
✨A Python logging tool that automatically traces code execution and generates Mermaid JS sequence diagrams via decorators, with async support, distributed tracing, FastAPI and LangChain integration.
SalmAlm
🧠A self-hosted personal AI gateway integrating 6 LLM providers, 3-tier auto-routing, and a persistent memory system, enabling personal life automation and dev assistance via 62 built-in tools.
Model & Inference Framework大语言模型AI Agents
SkillLite
✨A lightweight AI Agent Skills secure engine built in Rust, featuring a built-in native system-level sandbox, zero dependencies, and fully local execution. Provides three-layer security defense (install-time scan, pre-execution authorization, runtime sandbox) with 100% security test score, 40ms hot start, and ~10MB memory footprint.
SDKModel Context ProtocolAI Agents
mcp-agent
✨A Python-based MCP protocol implementation framework providing client-server architecture for LLM tool orchestration, integrated with LangChain and ChromaDB for RAG development.
Model & Inference FrameworkRAGAI Agents
LangChain4j
✨An open-source framework simplifying LLM integration in Java apps, supporting RAG, tool calling, and agents. Provides a unified API for major models like OpenAI and Gemini, with deep integration for Spring Boot and Quarkus.
Model & Inference FrameworkModel Context ProtocolSDK
memory_agent_hub
✨A curated knowledge hub for AI Agent memory systems and RAG technologies, covering GraphRAG, LightRAG, KAG, Mem0, MemGPT with 50+ technical documents and open-source project indexes.