# Maximem Synap's Agent Memory Now Available for LangGraph

> Maximem Synap's persistent agent memory now integrates with LangGraph. Cross-thread state, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production state graphs.

_Maximem Team · May 21, 2026_

# Maximem Synap's Agent Memory Now Available for LangGraph

Maximem Team | May 20, 2026

LangGraph has the fastest adoption curve of any agent framework launched in the past 18 months. Built by the same team behind LangChain. 100,000-plus GitHub stars, the most-starred LLM framework on the platform. It gives developers explicit state machines for agent workflows. Nodes, edges, conditional routing, human-in-the-loop breakpoints. If you are building an agent that pauses for approval, retries on failure, or branches based on intermediate results, LangGraph is where you start.

Today, [Maximem Synap](https://www.maximem.ai/synap) extends LangGraph with persistent cross-thread memory. Native checkpointing saves state within a process. Synap makes that state survive restarts, scale across instances, and resolve identities across threads.

## What LangGraph Already Does Well

LangChain taught developers how to chain LLM calls. LangGraph teaches them how to reason with structure.

You define nodes as functions. You wire edges as transitions. You add cycles for retries. You insert interrupt points for human approval. This is not [prompt engineering](https://www.maximem.ai/glossary/prompt-engineering) with extra steps. It is building a state machine where the LLM is one node among many.

LangGraph handles exactly this: structured reasoning with persistent state within a single process. The challenge is what happens when that process restarts.

## How LangGraph Checkpoints Work Today

A checkpointer ([https://langchain-ai.github.io/langgraph/concepts/persistence/](https://langchain-ai.github.io/langgraph/concepts/persistence/)) is the LangGraph component that writes checkpoint snapshots of your graph's state after each node executes. Think of it

as a save-game file: your graph can pause, resume, or rewind because the checkpointer captured each intermediate state.

LangGraph ships three checkpoint options:

MemorySaver, the default, stores checkpoints in a Python dictionary. Fast, simple, and entirely in-memory. On restart, the dictionary clears. Every thread\_id starts fresh. This works well for notebooks and local development.

SqliteSaver writes checkpoints to a local SQLite file. State survives a graceful shutdown. Since SQLite is file-based and local, it does not replicate across instances. Deploy three Kubernetes pods, each pod maintains its own isolated file. Thread A on pod 1 cannot access thread B on pod 2.

PostgresSaver stores checkpoints in PostgreSQL. State survives restarts and scales across instances. This is the production-grade option for checkpoint persistence. It replays exact state on resume, which is exactly what checkpointing is designed to do.

All three options solve checkpoint persistence. What they do not solve, by design, is cross-thread memory, entity resolution, semantic retrieval, or automatic context compaction. Those are memory-layer problems, not checkpoint-layer problems.

## What Synap Adds

Synap is agentic [context management](https://www.maximem.ai/glossary/context-management). It does not replace LangGraph's checkpointer. It complements it.

We ship two components that plug into LangGraph's native interfaces:

SynapCheckpointSaver implements BaseCheckpointSaver. Use it exactly like PostgresSaver: compile your graph with it, restart your process, resume with the same thread\_id. The graph picks up where it left off. The difference: Synap adds fuzzy semantic retrieval when no exact checkpoint exists. The agent locates relevant prior context automatically, even across threads. PostgresSaver replays exact state. SynapCheckpointSaver replays exact state and finds related state.

SynapStore implements BaseStore. Inject it into any node. Nodes search prior context, store new facts, resolve entities across threads. A recall node fetches what the user said last Tuesday. A remember node persists what they just told you. Both scope to the same user identity regardless of which thread they used.

For LangGraph, the integration is a native package. Drop it in. Replace the backends. No rewrite.

We built this because multi-agent graphs kept losing context that lived in a different thread last session. The result: [92% LongMemEval, 93.2% on LoCoMo](https://www.maximem.ai/blog/synap-benchmark-results) accuracy on LongMemEval, sub-100ms retrieval in fast mode, and a memory layer that scales across threads.

For why context management is infrastructure and not a feature, read [What Is Agentic Context Management?](https://www.maximem.ai/blog/what-is-agentic-context-management) (/blog/what-is-agentic-context-management). For build-versus-buy numbers, see [The Real Cost of DIY Agent Memory](https://www.maximem.ai/blog/real-cost-diy-agent-memory) (/blog/real-cost-diy-agent-memory).

## What Synap Adds to LangGraph

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)

## What Production Teams Gain

Cross-thread continuity. User starts in thread A, returns in thread B. SynapCheckpointSaver resumes exact state. SynapStore makes thread A's context available to thread B. The agent treats every thread as one continuous conversation.

Accuracy that ships. 92% LongMemEval, 93.2% on LoCoMo measures whether agents recall facts across long, multi-turn conversations spanning multiple threads. This is a benchmark score on a dataset built specifically for that test.

Token efficiency. Synap's compaction trims state without dropping critical context. Most teams see 60–70% fewer tokens shipped to the LLM per turn. At scale, that is the difference between profit and burn.

Latency that does not block. Fast retrieval: 50–100ms. Accurate mode with graph traversal and [reranking](https://www.maximem.ai/glossary/reranking): 200–500ms. Both degrade gracefully. A failure returns empty results and a log line, not a crashed graph.

Entity resolution. "Alice from Engineering," "[alice@acme.com](mailto:alice@acme.com)," and "user\_7291" resolve to one person across every thread. Synap handles this at the memory layer so your graph nodes do not have to.

Production resilience. The checkpointer handles errors silently where appropriate, raises explicit exceptions where recovery is possible. The store surfaces SynapIntegrationError on write failures so your agent knows persistence failed. Read operations never crash the graph. Everything conforms to LangGraph interfaces you already know.

## How to Get Started

Three steps. No rearchitecture.

**Step 1: Install**.

```
pip install maximem-synap-langgraph
```

**Step 2:** Initialize and attach.

```
import os
from maximem_synap import MaximemSynapSDK
from synap_langgraph import SynapCheckpointSaver, SynapStore
sdk = MaximemSynapSDK(api_key=os.getenv("SYNAP_API_KEY"))
await sdk.initialize()
checkpointer = SynapCheckpointSaver(sdk=sdk,user_id="alice",customer_id="acme",)
graph = builder.compile(checkpointer=checkpointer)
store = SynapStore(sdk=sdk,user_id="alice",customer_id="acme",)
docs = await store.asearch(("user", "alice"), query="project deadlines")
await store.aput(("user", "alice"), "preference_timezone", "Asia/Tokyo")
```

**Step 3:** Deploy. Synap handles persistence, cross-thread memory, and retrieval. Your graph handles logic. The boundary stays clean.

Full config, scoping, and error handling: [https://docs.maximem.ai/integrations/langgraph](https://docs.maximem.ai/integrations/langgraph)

## Memory Is Infrastructure

LangGraph gave developers a standard for building stateful agents. Real value. The checkpointer it ships was designed to save and resume state, which it does well. Making that state intelligent across threads and sessions is a different problem.

The teams that ship production multi-agent graphs discover this around month four. They either build a memory layer on top of PostgresSaver themselves, or they plug in a system built for the problem.

This is why memory is infrastructure, not a feature.

Start building LangGraph agents that remember across threads → ([https://synap.maximem.ai](https://synap.maximem.ai))

[Synap pricing](https://www.maximem.ai/synap/pricing) is usage-based. You pay for memory operations: storage, retrieval, compaction. No per-seat or per-framework surcharge. Starter plan: $49/month. Every new account gets $25 in free

credits to test before committing. See full pricing at [https://synap.maximem.ai/pricing](https://synap.maximem.ai/pricing).  
  
  
Related Articles:  
[Maximem's Synap & LangChain Intergration](https://www.maximem.ai/blog/langchain-maximem-synap-memory-integration)  
[Why AI Forgets](https://www.maximem.ai/blog/why-ai-forgets)  
[The Real Cost of DIY Agent Memory](https://www.maximem.ai/blog/real-cost-diy-agent-memory)

---

Source: [https://www.maximem.ai/blog/langgraph-synap-memory-integration](https://www.maximem.ai/blog/langgraph-synap-memory-integration)
