> ## Documentation Index
> Fetch the complete documentation index at: https://upstash.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Tools

> Connect your AI coding agent to Upstash.

export const AgentGrid = () => {
  const ICONS = {
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    },
    "cursor": {
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    "opencode": {
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    "deepseek": {
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    },
    "copilot": {
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    },
    "zed": {
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    },
    "openai": {
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    },
    "grok": {
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    },
    "antigravity": {
      "color": "#4285F4",
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    }
  };
  const AGENTS = [{
    name: "Claude Code",
    slug: "claude-code",
    icon: "claude",
    desc: "Anthropic's terminal and IDE agent. Install Upstash as a plugin from the marketplace."
  }, {
    name: "Cursor",
    slug: "cursor",
    icon: "cursor",
    desc: "AI code editor. One-click MCP install button; skills via the Agent Skills CLI."
  }, {
    name: "OpenAI Codex",
    slug: "openai-codex",
    icon: "openai",
    desc: "OpenAI's coding agent. Install the plugin and the MCP server with the Codex CLI."
  }, {
    name: "OpenCode",
    slug: "opencode",
    icon: "opencode",
    desc: "Open-source terminal agent that loads Agent Skills natively. MCP via its config."
  }, {
    name: "Zed",
    slug: "zed",
    icon: "zed",
    desc: "Editor with a built-in Agent Panel. Skills via the CLI, MCP via the Zed extension."
  }, {
    name: "GitHub Copilot",
    slug: "github-copilot",
    icon: "copilot",
    desc: "Copilot agent mode in VS Code. MCP via .vscode/mcp.json."
  }, {
    name: "Devin Desktop",
    slug: "devin-desktop",
    icon: "devin",
    desc: "Cognition's desktop agent workspace and IDE. Skills via the CLI, MCP via its config file."
  }, {
    name: "Gemini CLI",
    slug: "gemini-cli",
    icon: "gemini",
    desc: "Google's open-source terminal agent. Skills via the CLI, MCP via settings.json."
  }, {
    name: "Google Antigravity",
    slug: "google-antigravity",
    icon: "antigravity",
    desc: "Google's agent-first IDE. Skills via the CLI, MCP via the Antigravity MCP config."
  }, {
    name: "DeepSeek Harness",
    slug: "deepseek-harness",
    icon: "deepseek",
    desc: "One bundle installs the skills and the MCP server. Log in once from a session."
  }, {
    name: "Claude Desktop",
    slug: "claude-desktop",
    icon: "claude",
    desc: "Upload the skill to Claude Desktop or claude.ai; MCP via the desktop app."
  }, {
    name: "Grok",
    slug: "grok",
    icon: "grok",
    desc: "xAI's Grok Build agent. Skills via the Agent Skills CLI, MCP via grok mcp add."
  }];
  const AgentIcon = ({id}) => {
    if (id === "devin") {
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    }
    if (id === "gemini") {
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          <path d={path} fill="url(#gemini-green)" />
          <path d={path} fill="url(#gemini-red)" />
          <path d={path} fill="url(#gemini-yellow)" />
          <defs>
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              <stop offset="1" stopColor="#08B962" stopOpacity="0" />
            </linearGradient>
            <linearGradient id="gemini-red" gradientUnits="userSpaceOnUse" x1="8" x2="11.5" y1="5.5" y2="11">
              <stop stopColor="#F94543" />
              <stop offset="1" stopColor="#F94543" stopOpacity="0" />
            </linearGradient>
            <linearGradient id="gemini-yellow" gradientUnits="userSpaceOnUse" x1="3.5" x2="17.5" y1="13.5" y2="12">
              <stop stopColor="#FABC12" />
              <stop offset="0.46" stopColor="#FABC12" stopOpacity="0" />
            </linearGradient>
          </defs>
        </svg>;
    }
    const ic = ICONS[id];
    return <svg aria-hidden="true" width="20" height="20" viewBox="0 0 24 24" fill={ic.color || "currentColor"}>
        {ic.paths.map((d, i) => <path key={i} d={d} />)}
      </svg>;
  };
  return <div className="u-grid u-grid--fixed3 u-agents">
      {AGENTS.map(a => <a key={a.name} className="u-card u-card--stack" href={`/agent-resources/clients#${a.slug}`}>
          <div className="u-card__head">
            <div className="u-card__brand-icon"><AgentIcon id={a.icon} /></div>
            <div className="u-card__title">{a.name}</div>
          </div>
          <div className="u-card__desc">{a.desc}</div>
        </a>)}
    </div>;
};

Upstash ships Skills, a CLI, an MCP server, and llms.txt so your agent can build on and manage Redis, QStash, Workflow, Vector, Search, and Box. Pick your agent to get set up in a minute.

# Pick your agent

<AgentGrid />

Don't see your agent? See the [full list of agents](/docs/agent-resources/clients).

# Resources

<CardGroup cols={2}>
  <Card title="Skills" icon="sparkles" href="/docs/agent-resources/skills">
    Docs and CLI reference for every Upstash SDK, loaded on demand.
  </Card>

  <Card title="MCP Server" icon="plug" href="/docs/agent-resources/mcp">
    Live tools to query, debug, and manage your Upstash account.
  </Card>

  <Card title="CLI" icon="terminal" href="/docs/agent-resources/cli">
    Agent-friendly terminal for managing resources. JSON output, dry runs.
  </Card>

  <Card title="llms.txt" icon="file-lines" href="/docs/llms.txt">
    The docs as plain text for tools without skill or MCP support.
  </Card>
</CardGroup>

# Quick start

Install the Upstash skill. It includes the `upstash` CLI reference, so this one step is enough for most workflows:

```bash theme={"system"}
npx skills add upstash/skills
```

To let your agent read and change your account directly, add the MCP server as well. Grab an API key from [Upstash Console → Account → API Keys](https://console.upstash.com/account/api) first:

```bash theme={"system"}
npx -y @upstash/mcp-server@latest --email YOUR_EMAIL --api-key YOUR_API_KEY
```

<Note>
  Only working against a single Redis database? The lightweight [Redis MCP](/docs/redis/sdks/mcp) needs just that database's REST URL and token, not an account API key.
</Note>

# Building AI into your app?

The resources above are for agents that help you build. If you're building agents or AI features into your own product, start here:

<CardGroup cols={2}>
  <Card title="Agent memory & chat history" icon="brain" href="/docs/redis/sdks/agentkit/ai-sdk">
    Long-term memory, RAG, and chat history for the Vercel AI SDK and Eve, backed by Redis.
  </Card>

  <Card title="Vector" icon="diagram-project" href="/docs/vector/overall/getstarted">
    Embeddings and semantic search for RAG pipelines, with LangChain, LlamaIndex, and AI SDK integrations.
  </Card>

  <Card title="Workflow Agents" icon="robot" href="/docs/workflow/agents/overview">
    Durable multi-agent orchestration with retries and no timeouts. Works with AI SDK and LangChain tools.
  </Card>

  <Card title="Box" icon="cube" href="/docs/box/overall/quickstart">
    Sandboxed cloud containers with Claude Code, Codex, or OpenCode built in, for running agents at scale.
  </Card>

  <Card title="Search" icon="magnifying-glass" href="/docs/search/overall/getstarted">
    Full-text and semantic search over your documents, ready to serve as a retrieval tool.
  </Card>

  <Card title="QStash for LLM calls" icon="clock" href="/docs/qstash/integrations/llm">
    Call LLM APIs with retries, callbacks, batching, and a 2-hour timeout from serverless runtimes.
  </Card>
</CardGroup>


## Related topics

- [Getting Started](/docs/redis/overall/getstarted.md)
- [Vercel AI SDK Memory, RAG & Chat History with Redis](/docs/redis/sdks/agentkit/ai-sdk.md)
- [Vercel AI SDK](/docs/workflow/integrations/aisdk.md)
- [AI File Editor with TanStack AI](/docs/box/guides/tanstack-ai-file-editor.md)
- [Code Interpreter with Vercel AI SDK](/docs/box/guides/ai-sdk-code-interpreter.md)
