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Maximem Synap

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AI agent memory that remembers across sessions

AI AgentsDeveloper ToolsData & Databases
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Tracked since2026
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What is Maximem Synap?

Editorial review
Maximem Synap is a managed long-term memory layer for AI agents. It stores what an agent learns across sessions and returns the relevant parts at inference time, rather than re-sending full conversation history into the context window. It handles entity resolution, temporal reasoning over facts that change, multi-tenant scoping and controlled forgetting. Numerous native framework integrations plus a remote MCP server. The SDKs are Apache-2.0; the memory engine is a managed service, not open source.
how we evaluateSourcemaximem.ai ↗

Preview

Key Features

Entity resolution and temporal reasoning over facts that change between sessionsMulti-tenant scoping at client, user and customer levels22 native framework integrations, including LangChain, LlamaIndex, CrewAI and OpenAI Agents SDKControlled forgetting, with user-level edit and delete of stored memoriesRemote MCP server for no-code platforms such as n8n and Gumloop

Pricing Plans

Pricing checked Aug 26, 2026

Trial

Free

5,000 credits/month, 1 agent, hard cap

  • Docs support, 7-day audit trail

Starter

$19 / month

25,000 credits/month, 3 agents. Launch price; list price $49/month

  • Email support within 48h, 30-day audit trail, $2.00 per 1K credits overage

Pro

$249 / month

150,000 credits/month, 10 agents, 24h email support

  • Email support within 24h, 90-day audit trail, $1.75 per 1K credits overage

Scale

$999 / month

750,000 credits/month, 50 agents, Slack support with 4h SLA

  • Slack support with 4h SLA, 180-day audit trail, $1.50 per 1K credits overage

Enterprise

Custom

Volume-based credits, unlimited agents, dedicated CSM

  • Dedicated CSM, custom audit trail, negotiated overage rates
Calculate your costView full pricing

Is Maximem Synap worth the price?

68/100

The pricing is fair for teams needing persistent AI memory, with the Starter tier at $19/month being a generous launch price for 25,000 credits and 3 agents.

However, the Pro tier at $249/month feels expensive compared to the value jump from Starter, and overage costs can add up quickly. Best for small to mid-size teams building long-running AI agents that require session memory and reasoning.

Hidden Costs & Gotchas

Overage fees start at $2.00 per 1K credits

Starter launch price may increase to $49/month

No annual discount mentioned for any tier

Hard credit cap on Trial limits real testing

Enterprise custom pricing likely requires minimum commitment

How Maximem Synap Compares to Competitors

Compared to LangChain's LangGraph Cloud, Maximem Synap offers more structured memory features but at a higher base price for Pro tiers. It is cheaper than dedicated agent memory platforms like Mem0, but pricier than rolling your own with vector databases and open-source LLMs.

How Maximem Synap's pricing compares

At $19/mo, Maximem Synap is the most affordable of its 2 direct competitors.

Maximem Synap
$19
Dragonfly
$27
LangChain
$39

Entry paid plan, monthly. Pricing checked Aug 26, 2026.

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Best Maximem Synap Alternatives

Top alternatives based on features, pricing, and user needs.

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Weavable logo
WeavableFreemium

Give your AI agents persistent memory and context for more effective, long-running tasks.

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Build LLM-powered applications

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Momento logo
MomentoPaid

Enterprise caching re-engineered for reliability, speed, and scalability, powered by a hardened Valkey.

4.8
Dragonfly logo
DragonflyFreemium

An in-memory data store for massive workloads, offering Redis/Valkey/Memcached compatibility and superior performance.

4.9
Zep Memory logo
Zep MemoryFreemium

Build personalized, fast, and reliable AI agents with comprehensive, evolving memory.

4.7
pumaDB logo
pumaDBFreemium

AI agent memory, simplified. No database admin needed

PMB logo
PMBFree

Local-first AI memory for coding agents. Recall context instantly

See all AI agents tools →

Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

All Maximem Synap alternatives7+ tools ranked, pricing + verdict per pickMaximem Synap vs WeavableHead-to-head: features, pricing, who winsMaximem Synap vs LangChainHead-to-head: features, pricing, who winsMaximem Synap vs MomentoHead-to-head: features, pricing, who wins

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Maximem Synap FAQ

How does Maximem Synap handle facts that change over time, like a user's current location or preferences?

Maximem Synap includes temporal reasoning over facts that change, so it can track when a fact was learned and return the most relevant version at inference time. This allows an AI agent to remember that a user moved to a new city without confusing it with the old location.

How does Maximem Synap compare to Zep Memory for building persistent AI agents?

Both Maximem Synap and Zep Memory provide long-term memory for AI agents, but Maximem Synap offers a managed service with built-in entity resolution and controlled forgetting, whereas Zep Memory is an open-source memory server. Maximem Synap also provides native framework integrations and a remote MCP server, which may simplify deployment for teams that prefer a fully managed solution.

Which teams benefit most from using Maximem Synap?

Teams building AI agents that need to maintain context across multiple sessions, such as customer support bots, personal assistants, or research agents, benefit most from Maximem Synap. It is especially useful for developers who want to avoid re-sending full conversation history into the context window and prefer a managed memory layer with multi-tenant scoping.

How is Maximem Synap priced?

Maximem Synap is available on a free tier, with paid plans that provide more usage and additional features. The exact pricing scales with the amount of memory storage and inference calls needed.

Can Maximem Synap integrate with existing AI agent frameworks and tools?

Yes, Maximem Synap offers numerous native framework integrations and also provides a remote MCP server, making it compatible with many standard AI agent development environments. This allows developers to add persistent memory without rewriting their existing agent architecture.

Does Maximem Synap support multi-tenant applications where different users need separate memory stores?

Yes, Maximem Synap includes multi-tenant scoping, which means it can isolate memory for different users or sessions within the same deployment. This ensures that each tenant's facts are kept separate and only relevant information is returned to the agent.

Why would a developer choose Maximem Synap over simply storing conversation history in a database?

Maximem Synap handles entity resolution and temporal reasoning automatically, so the agent retrieves only the most relevant facts rather than raw conversation logs. This reduces context window usage and improves inference accuracy, unlike a plain database that would require custom logic to extract and update facts over time.

Source: maximem.ai

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