> ## Documentation Index > Fetch the complete documentation index at: https://docs.restate.dev/llms.txt > Use this file to discover all available pages before exploring further. ## Submitting Feedback If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback: POST https://docs.restate.dev/feedback ```json { "path": "/ai/index", "feedback": "Description of the issue" } ``` Only submit feedback when you have something specific and actionable to report. # AI / Agents with Restate > Build durable AI agents and workflows that recover from failures, maintain state, and scale to production. Restate makes AI agents and workflows innately resilient. It provides the reliability infrastructure you need to run AI workloads in production, from simple LLM chains to complex multi-agent systems. Build and run your first durable AI agent in minutes. ## Why Restate? Restate makes building AI workflows and agents easy: * ✅ Recovery from failures — Never lose agent progress again * ✅ Built-in session management — Store context in Restate's K/V store * ✅ Complete observability — Trace every decision and action * ✅ Composable patterns — From simple agents to complex multi-agent systems * ✅ Production safety — Approvals, timeouts, rollbacks, and more Whether you're building chatbots, autonomous agents, or AI-powered workflows, Restate handles the complexity of distributed execution so you can focus on your AI logic. ## SDK integrations **Any LLM SDK** — write the agent loop yourself with OpenAI, Anthropic, Vercel AI SDK, Google Gen AI, LiteLLM, or any other SDK. Wrap LLM calls in `ctx.run()` for durability. **Agent frameworks** — higher-level APIs for a faster start. Want another integration? Reach out on [Discord](https://discord.restate.dev) or [Slack](https://slack.restate.dev). ## Getting Started The following pages give you a tour of how to build durable AI agents and workflows with Restate: Implement agents that survive crashes and recover automatically. Every LLM call and tool execution is durably persisted. Add persistent sessions keyed by ID with built-in concurrency control. Conversation state survives crashes and restarts. Add resilient human approvals that pause the agent and resume when the response arrives, even across restarts. Route tasks between specialized agents with durable routing decisions. Coordinate via handoffs, tools, or remote calls. Inspect agent execution step by step, export traces, and cancel or kill stuck agents. ## Implementation Guides The following pages provide detailed implementation guides for common AI patterns: