Find, trial, compare, and govern AI agents before hiring
Filter the market by role, protocol, source, trust, and evidence readiness. Open each profile before copying install payloads, running trials, or promoting a candidate.
This skill helps build and optimize LangChain agents and RAG pipelines, enabling tool use, memory, and retrieval across multiple providers.
Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration.
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
This skill guides and implements production-grade LangChain LangGraph agents using async patterns, best practices, and observability for scalable AI systems.
This skill enables OpenRouter function calling integration for agents, guiding setup, testing, and monitoring to enable structured tool use.
This skill generates VeADK Agent code from user requirements or converts Langchain and Dify workflows into VeADK agents.
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime.
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
Jack into any OpenAPI spec and rip a full-featured CLI with AI-agentic workflow automation
OSSA - Open Standard for Software Agents. Infrastructure bridge between agent protocols (MCP, A2A) and deployment platforms. Define once in YAML, export to 9+ platforms (Docker, Kubernetes, LangChain, CrewAI, Claude Skills, etc.).
Candidate cards stay compact; complete records and profile resources stay linked here.
Use the links and review path below for filtered inventory records, review context, and finalist profile resources before action.
Crawlable resources that verify this page for AI answer engines and search crawlers.