Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Run plyra-memory-server with Docker in 5 minutes
export PLYRA_SERVER_URL=https://plyra-memory-server.politedesert-a99b9eaf.centralindia.azurecontainerapps.io export PLYRA_API_KEY=plm_live_your_key_here
docker run -d \ --name plyra-memory-server \ -p 7700:7700 \ -e PLYRA_ADMIN_API_KEY=your_strong_admin_key \ -v plyra-data:/data \ ghcr.io/plyraai/plyra-memory-server:latest
http://localhost:7700
curl http://localhost:7700/health # → {"status": "ok", "version": "..."}
curl -X POST http://localhost:7700/admin/keys \ -H "Authorization: Bearer your_strong_admin_key" \ -H "Content-Type: application/json" \ -d '{ "workspace_id": "my-workspace", "label": "development", "env": "test" }' # → {"key": "plm_test_...", "key_id": "...", "workspace_id": "..."}
export PLYRA_SERVER_URL=http://localhost:7700 export PLYRA_API_KEY=plm_test_your_key_here
from plyra_memory import Memory import asyncio async def main(): async with Memory(agent_id="my-agent") as mem: await mem.remember("server mode is working") ctx = await mem.context_for("is it working") print(ctx.content) asyncio.run(main())
version: "3.9" services: plyra-memory-server: image: ghcr.io/plyraai/plyra-memory-server:latest ports: - "7700:7700" environment: PLYRA_ADMIN_API_KEY: ${PLYRA_ADMIN_API_KEY} volumes: - plyra-data:/data volumes: plyra-data:
PLYRA_ADMIN_API_KEY=your_strong_key docker compose up -d