Centralized, governed memory for AI agents
Project description
memoryhub
Centralized, governed memory for AI agents.
MemoryHub provides a persistent memory layer for AI agents running on OpenShift AI, with scope-based access control, multi-tenant isolation, and an immutable audit trail. It works with any agent framework — LlamaStack, LangChain, Claude Code, Cursor, and more.
Status: Pre-alpha. The SDK is under active development.
Quick start
from memoryhub import MemoryHubClient
client = MemoryHubClient(
url="https://memoryhub.apps.example.com",
api_key="your-api-key",
)
# Search memories
results = await client.search("deployment patterns")
# Write a memory
await client.write("FastAPI is the preferred web framework", scope="project")
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