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

# Quickstart

> Give your agent persistent memory in 60 seconds

## Install

<CodeGroup>
  ```bash pip theme={null}
  pip install plyra-memory
  ```

  ```bash uv theme={null}
  uv add plyra-memory
  ```
</CodeGroup>

## Remember and recall

```python theme={null}
import asyncio
from plyra_memory import Memory

async def main():
    async with Memory(agent_id="my-agent") as mem:
        # Write to memory
        await mem.remember("User prefers async Python frameworks")
        await mem.remember("The bug is in the conditional edge logic")

        # Recall — fused search across all layers
        result = await mem.recall("Python preferences")
        for r in result.results:
            print(f"[{r.layer.value}] {r.content}  score={r.score:.2f}")

        # Context — token-budgeted string ready to inject into a prompt
        ctx = await mem.context_for("what stack does the user prefer?")
        print(ctx.content)
        # → "[episodic] User prefers async Python frameworks (score: 0.94)"

asyncio.run(main())
```

## Persistent across sessions

The same `agent_id` retrieves memory from all previous sessions:

```python theme={null}
# Session 1
async with Memory(agent_id="support-agent") as mem:
    await mem.remember("User is debugging a LangGraph state machine")

# Session 2 — days later, new process
async with Memory(agent_id="support-agent") as mem:
    ctx = await mem.context_for("LangGraph issue")
    print(ctx.content)
    # → "[episodic] User is debugging a LangGraph state machine"
```

## Connect to a server

To share memory across agents or enable multi-tenant isolation:

```bash theme={null}
export PLYRA_SERVER_URL=https://plyra-memory-server.politedesert-a99b9eaf.centralindia.azurecontainerapps.io
export PLYRA_API_KEY=plm_live_your_key_here
```

No code changes. The library detects these env vars and routes all operations to the server automatically.

<Note>
  Get your API key at [docs.plyra.dev/memory-server/api-keys](/memory-server/api-keys).
</Note>

<CardGroup cols={2}>
  <Card title="Memory layers" href="/memory/layers" icon="layers">
    Understand working, episodic, and semantic storage.
  </Card>

  <Card title="Framework integrations" href="/memory/frameworks" icon="plug">
    LangGraph, LangChain, AutoGen, CrewAI, and more.
  </Card>
</CardGroup>