New research from Maximem. Agentic Context Management: Agent Memory is an architecture problem. Read the paper →

Your agents forget.
Synap fixes that.

Agentic Context Management — memory, retrieval, and learning infrastructure for AI agents.

92%
LongMemEval
93.2%
LoCoMo
<15ms
P75 in-conversation retrieval

Intelligent Memorization

Decides what to store and how. No agent self-reporting needed.

Proactive Context Retrieval

Fetches relevant short & long-term context before your agent asks.

Learns & Forgets

Removes stale data, reinforces signals. Memory stays clean.

Encrypted, isolated, deployable your way

Encrypted in transit and at rest. Strict tenant isolation. Self-hosted and air-gapped available. Read the security page →

# Get started in a few minutes
from maximem_synap import MaximemSynapSDK

sdk = MaximemSynapSDK(api_key="YOUR_KEY")
await sdk.initialize()

await sdk.conversation.record_message(conversation_id="c1", user_id="alice", role="user", content="...")
context = await sdk.fetch(conversation_id="c2", user_id="alice", search_query=["what is alice working on?"])

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