Memory API for AI agents — Postgres-native, graph memory included, no Neo4j
Project description
agentmem-py
Python SDK for AgentMem — the memory API for AI agents.
Install
pip install agentmem-py
Usage
import os
from agentmem_py import MemoryStore
mem = MemoryStore(api_key=os.environ["AGENTMEM_API_KEY"])
mem.write(content="user prefers dark mode", agent_id="agent-1", scope="user")
hits = mem.search(query="theme preference", agent_id="agent-1", top_k=5)
for h in hits:
print(h.score, h.content)
Async
import asyncio
from agentmem_py import AsyncMemoryStore
async def main():
async with AsyncMemoryStore(api_key="...") as mem:
await mem.write(content="hello", agent_id="agent-1")
asyncio.run(main())
Self-hosting
Pass base_url= to point at your own deployment:
mem = MemoryStore(api_key="...", base_url="https://your-host.example.com/functions/v1/api")
License
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