ag-ui

The Open Standard for Generative UI

Open-source AI coworkers that each get a computer of their own: a browser, files and tools, with every action decided before it happens and recorded after. Bring any AG-UI agent.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

Generative UI examples for: AG-UI, A2UI/Open-JSON-UI, and MCP Apps.

DataFoundry is an open-source AI workbench for data analysis, unifying data sources, knowledge, tools, and agent runtime into a governed workspace for interactive analytics.

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

Interact with all three types of generative UI, all in one interface

AI agent runtime for Rust — type-safe state, multi-protocol serving, plugin extensibility.

One cockpit for all your coding agents: a web console (plus Discord & Teams) to run Claude Code, Codex, local models, pi and AG-UI agents in parallel, with manager/worker delegation.

Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.

The Private Agent OS — search files, run AI agents, connect to 10,000+ tools via the complete protocol stack (MCP, AG-UI, A2UI, A2A). Zero cloud. Zero telemetry. On-device inference.

Interactivity at a new level - MCP apps

Healthcare dashboard with AI-powered chart generation

🤖 🚀 Agent Runtimes — Managed AI Agents.

A single front door for all your AI agents and MCPs

ServiceNow MCP Server and API Wrapper

AG-UI + LangGraph agent with a plain React and a vanilla JS frontend. No Next.js, no CopilotKit. Streaming, tool calls, shared state, human-in-the-loop interrupts, bring-your-own-key.

Control plane for AI coding agents: route tasks, reduce token spend, run multi-agent workflows, fallback executors, and track cost per task.