Synap in 90 seconds
Synap in 90 seconds
What is Maximem Synap? Synap is a managed memory layer for AI agents. It ingests conversations and documents, extracts structured knowledge (facts, preferences, episodes, emotions, temporal events), and serves ranked, scope-aware context back to your agent at retrieval time.When should I use it?
- You’re building an agent that needs to remember users, customers, or organizations across sessions.
- You want structured memory (entities, preferences, episodes) without running a vector DB or building a retrieval pipeline.
- You need multi-tenant memory scoping (per-user, per-customer, per-org) out of the box.
Start the 10-minute quickstart
Install, create an instance, ingest your first memory, and retrieve it, in 10 minutes.
Try Synap in the live playground
Spin up a working memory agent in the browser. No install, no API key needed.
What do you want to do?
Add memory to your agent with the SDK
QuickstartPython · TypeScript
Use your framework
IntegrationsLangChain, CrewAI, Mastra and 20 more
Connect with no code
No-codeSynap MCP server
Set up with your AI coding agent
Coding agentsClaude Code, Cursor, Codex
Switch from another provider
MigrationMem0 · Zep · Letta · Supermemory
Add memory to OpenClaw or Hermes
VityPersistent memory for the AI tools you use
Works with popular agent frameworks
Pick your stack: each tile jumps straight to the integration you’ll actually use, so you skip the raw-SDK steps you don’t need.LangChain
LangGraph
Vercel AI SDK
OpenAI Agents
CrewAI
LiveKit
Claude Agent SDK
Pipecat
Mastra
No-code (MCP)
No framework / direct SDK
See all 23 integrations
Choose your path
Three common journeys through these docs. Pick the one that matches where you are.Hobbyist / first agent
Framework developer
B2B platform team
What can you build
Synap handles the hard parts of agent memory so you can focus on building great AI experiences:- Personalized chatbots that remember user preferences, past interactions, and evolving context across sessions
- Context-aware support agents that recall customer history, previous tickets, and account details without re-asking
- Agents that learn over time by extracting and retaining facts, preferences, emotions, and temporal events from every conversation
- Multi-user, memory-scoped applications where each user, customer, or organization has isolated, structured memory boundaries
How it works
Three calls, end to end:Three layers

Synap is async-first. The SDK uses Python’s
asyncio for non-blocking operations, and the ingestion pipeline processes memories asynchronously so your application stays responsive.