Mnemora: AI 에이전트를 위한 오픈소스 서버리스 메모리 데이터베이스

from mnemora import MnemoraSync
client = MnemoraSync(api_key="mnm_...")

# Working memory — sub-10ms key-value state
client.store_state("my-agent", {"task": "research", "step": 1})

# Semantic memory — auto-embedded, vector-searchable
client.store_memory("my-agent", "User prefers concise replies")

# Search across memories
results = client.search_memory("user preferences", agent_id="my-agent")
for r in results:
    print(r.content, r.similarity_score)

git clone https://github.com/mnemora-db/mnemora.git
cd mnemora/infra && npm install && npx cdk deploy

from mnemora import MnemoraClient
from mnemora.integrations.langgraph import MnemoraCheckpointSaver

client = MnemoraClient(api_key="mnm_...")
saver = MnemoraCheckpointSaver(client=client, namespace="langgraph")

graph = StateGraph(...)
app = graph.compile(checkpointer=saver)