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Documentation Index

Fetch the complete documentation index at: https://docs.omi.me/llms.txt

Use this file to discover all available pages before exploring further.

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Example Prompts

Once connected, try these prompts with your AI assistant: 
"What do you know about my work projects?"
"Find conversations where I discussed travel plans"
"Search my memories for anything about fitness goals"
"What did I talk about last Tuesday?"

"Remember that I prefer morning meetings before 10am"
"Update my memory about my favorite restaurant — it's now Sushi Nakazawa"
"Delete the memory about my old phone number"
"What are all my memories in the 'work' category?"

"Summarize my conversations from this week"
"Find the conversation where I brainstormed app ideas"
"What topics come up most in my recent conversations?"
"Show me the full transcript of my last meeting"

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Integration Examples

LangChain

Build chains with Omi data

OpenAI Agents

Create AI agents using Omi

DSPy

Programmatic LLM pipelines

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Python SDK Example

from langchain_mcp_adapters.client import MultiServerMCPClient

async with MultiServerMCPClient({
    "omi": {
        "url": "https://api.omi.me/v1/mcp/sse",
        "transport": "streamable_http",
        "headers": {"Authorization": "Bearer omi_mcp_YOUR_KEY"},
    }
}) as client:
    tools = client.get_tools()

    # Search memories
    result = await client.call_tool("omi", "search_memories", {
        "query": "morning routine",
        "limit": 5,
    })
    print(result)