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Maximem Synap gives your agents durable long-term memory and efficient short-term context across conversations, your customers, and your whole organization.
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.
What languages/runtimes? Python 3.11+ and JavaScript/TypeScript on Node.js 20+. Both are native SDKs. The JS/TS SDK runs on Node, Vercel Edge, Cloudflare Workers and the browser for context and memory operations; the optional anticipation stream is Node only. See Installation.Install:

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
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

Security & trust · Cookbook · Start free

Choose your path

Three common journeys through these docs. Pick the one that matches where you are.

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:
Behind those three calls, Synap categorizes the content, extracts facts, preferences, episodes, emotions, and temporal events, resolves entities across conversations, and stores everything in vector + graph engines. For the full mental model see What is Synap?.

Three layers

Synap three layers: your app with the SDK, Synap Cloud handling the managed pipeline and storage, and the Dashboard web UI for configuration and monitoring
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.