Создаем собственных AI-агентов с помощью LangChain @NeuroRazvedka Если хотите разрабатывать AI-приложения и AI-аген
AI-powered drive-thru order-taking for quick service restaurants.
Context-1 — поисковый агент, который умеет избавляться от лишнего. Часть 1/2 Авторы сегодняшней статьи заявляют следую
LLM Orchestration Agent: composes langchain-core + langchain-openai + langsmith + openai — orchestration, observability, llm-client via A2A + MCP.
Future AGI is an all-in-one platform that helps you build reliable AI agents. It lets you simulate scenarios, catch errors, and keep your agents safe so they wo
Structured Output Agent: composes groq + instructor + langchain-community + opentelemetry-sdk — llm-client, structured-output, orchestration, observability via A2A + MCP.
JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion. Unauthenticated calls are rejected. Ideal for protocol-layer auth + LLM over MCP, JWT-gated tool servers, secure agent gateways.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing. Ideal for traced/observable LangChain pipelines, evaluating prompts, monitoring chain quality.
JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion. Unauthenticated calls are rejected. Ideal for gating paid inference behind login, per-user LLM access, authenticated AI gateways.
Память для AI-агентов корпоративного уровня на темпоральных графах контекста
Каркас для LLM-приложений: цепочки, агенты, память, LangGraph и LangSmith.
Train AI on your docs to instantly answer customer and employee questions.
Non-custodial x402 MCP server for AI agents. Lets Claude, Cursor, LangChain and CrewAI pay for HTTP 402–gated APIs with USDC micropayments on Base L2. Unlike Cloudflare Pay-Per-Crawl, works on any host and settles agent-to-publisher direct.
Build AI agents easily with this open-source Python tool.
Create AI apps and chatbots easily with visual drag-and-drop.
Tavily предоставляет API поиска в реальном времени для LLM и RAG-приложений. Уменьшает галлюцинации ИИ, предоставляя актуальные данные из доверенных источников.
Evaluate and improve AI Agents, faster
Declarative agent infrastructure as code for multi-agent AI orchestration
Build Smarter Apps with Language Models
Email API for AI agents with inbox creation and webhook integration
A security layer providing cryptographic identities and audit trails for AI agents.
Web development Company
Low-code platform to build, deploy, and govern enterprise AI agents that execute real actions across your systems.
Build GenAI agents into your apps—in minutes, not months.
Fully-Automated and Zero-Code LLM Agent Framework
Go Beyond Chat: Make AI Actually Do Things
Phoenix Arize is an open-source AI observability platform for LLMs.
Lightning-fast multi-engine search API (P90 < 1s) for AI agents and structured data RAG.
Email inbox API for AI agents. Create agent mailboxes, receive live inbox events.
Система управления обучением, ориентированная на AI, созданная для демократизации внедрения искусственного интеллекта с помощью структурированных, практико-ориентированных курсов и активного обучения.
A security layer protecting AI agents from attacks and data leaks
Agent-native product catalog: 300M+ products across US+SEA. Search, compare, deals.
Persistent memory for AI agents — log and recall conversation context over MCP.
Receipt-based verification for AI agent workflows — create, verify, and poll ephemeral proof objects
OpenAI-compatible LLM gateway: models, savings math, key provisioning, autonomous email-OTP signup
Embed an AI chat widget on your website from your coding agent: provision, configure, get snippet.