MemorySync: Pricing, Features & Best Use Cases

Our take: Best for AI engineers building agents with persistent memory; free tier with 10k add requests/month, paid plans from $29/mo.

Main limitation: Developer-oriented; requires coding to use

By the AI Tool Atlas editors. Based on the vendor's official documentation; we have not tested this product hands-on. What “documented overview” means

MemorySync pricing and usage limits

Prices checked Oct 1, 2026 on the official US pricing page. Official pricing ↗ Prices and limits change often.

The official MemorySync pricing page as we saw it. memorysync.io, captured Oct 1, 2026

Free access and trial conditions

10,000 add and 1,000 retrieval requests per month; no credit card required

Free tier serves as unlimited trial

Paid plans: what changes as you upgrade

Free self-serve

Free

Month

For: Testing MemorySync; small projects

Limits

10,000 add requests/month
1,000 retrieval requests/month

1 more

Unlimited storage & users

Includes

Core memory APIs
Basic retrieval

2 more

Memory graph and clusters
Web dashboard

API included

Starter self-serve

$29/mo

Month

For: Developers building with AI memory

Limits

50,000 add requests/month
5,000 retrieval requests/month

1 more

Unlimited storage & users

Includes

All Free features
Enhanced intelligence system

2 more

Routed search
Standard support

API included

Pro self-serve

$179/mo

Month

For: Growing teams with production workloads

Limits

250,000 add requests/month
25,000 retrieval requests/month

1 more

Unlimited storage & users

Includes

All Starter features
Advanced intelligence system

2 more

Semantic ranking
Priority support

API included

Scale self-serve

$349/mo

Month

For: High-volume production deployments

Limits

500,000 add requests/month
50,000 retrieval requests/month

1 more

Unlimited storage & users

Includes

All Pro features
Optimized intelligence system

1 more

Dedicated support

API included

Enterprise sales

Custom pricing

Month

Custom terms

For: Large enterprises

Limits

Unlimited requests
Custom infrastructure

Includes

Full platform capabilities
Dedicated support

API included

Usage caps, credits and extra costs

No overage billing; usage capped at plan allowance

USD pricing

What is MemorySync, and how does it work?

MemorySync is a developer platform that gives AI systems persistent, contextual memory. It ingests data from connected sources, builds a memory graph with tiering, and assembles retrieved context for production agents. Uses REST API and Python/Node SDKs with integrations for LangChain, LangGraph, OpenAI Agents SDK, CrewAI and LlamaIndex.

MemorySync's official site: how the product presents itself. memorysync.io, captured Oct 1, 2026

What you provide and what you get back

What you give MemorySync and what comes back, from its documentation

You provide

API keys and authentication
Text memories, documents, or structured data
Source labels and tags for retrieval filtering
End-user identifiers for multi-tenant isolation

You get back

Ranked memory results from semantic retrieval
Memory graph visualization and intelligence reports
Context-assembled responses for LLM prompts
Audit logs and governance reports

Where you can use it

Platforms: API, SDK
Account: Required

Where MemorySync is most useful

Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.

Adding long-term memory to AI agents

Who: AI engineers, startups building agents
You provide: Text or structured data about user preferences, interactions, or domain knowledge
Expected result: Agent recalls relevant context on next interaction without retraining
Plan needed: Free tier for testing; Starter ($29/mo) for production agents
Limitation: Memory recall speed depends on data volume and query complexity source (opens in a new tab)

Retrieving user or company context for LLM prompts

Who: Teams building personalized AI applications
You provide: User ID, query, and optional metadata filters (tags, source)
Expected result: Ranked list of relevant memories assembled into optimal context window
Plan needed: Starter ($29/mo) to Pro ($179/mo) for active retrieval workloads
Limitation: Retrieval rates capped per plan; Pro tier costs may accumulate for high-volume usage source (opens in a new tab)

Syncing Slack, Drive or S3 data into agent memory

Who: Enterprise teams, SaaS platforms with multi-tenant agents
You provide: Connected data source and authentication
Expected result: Data ingested, indexed and queryable by agents within seconds
Plan needed: Pro ($179/mo) or Scale ($349/mo) for multi-source connectors
Limitation: Connector setup requires API key configuration; data freshness depends on sync intervals source (opens in a new tab)

MemorySync features and their limits

Feature overview on the official site. memorysync.io, captured Oct 1, 2026

Memory APIs (add, update, summarize, export, forget)

Store, modify, condense and delete memories programmatically via REST API Manage memory lifecycle; implement retention policies; clean up user data on request

Access: All plans via Python SDK, Node.js SDK, or REST APILimit: API rate limits per plan; bulk operations may require batching source (opens in a new tab)

Retrieval APIs (query, routed search, synthesize, compose)

Fetch ranked memories, combine results from multiple sources, synthesize into coherent context Assemble optimal context windows for higher-quality LLM responses

Access: All plansLimit: Retrieval counts capped per plan; semantic ranking quality improves with more memories source (opens in a new tab)

Memory graph, clusters and intelligence reports

Visualize relationships between memories; auto-identify topics and entities; generate auditable reports Understand what agents have learned; detect duplicate or conflicting memories; audit memory contents

Access: All plans via dashboardLimit: Graph visualization works best with 100+ memories; report generation latency at scale source (opens in a new tab)

Connectors for Slack, Drive, S3 and more

Automatically ingest data from external sources; map fields to memory structure Feed agents with real-time data from business systems without manual integration

Access: Pro+ plansLimit: Connector setup requires engineering; sync frequency and latency depend on source source (opens in a new tab)

Pros, cons and deal-breakers

Reasons to choose MemorySync

Documented REST API with Python and Node.js SDKs Easy integration into any stack; clear examples and typed interfaces documented source (opens in a new tab)
Framework integrations with LangChain, LangGraph, CrewAI, OpenAI Agents, LlamaIndex, Vercel AI Plug-and-play memory layer for popular agent frameworks documented source (opens in a new tab)
Enterprise features: SSO, SCIM, audit logs, retention controls, data isolation Suitable for regulated industries and compliance-heavy teams documented source (opens in a new tab)
Multi-tenant isolation with scope-based access control Safe for SaaS platforms serving multiple end-users documented source (opens in a new tab)
Free tier includes 10,000 add requests and 1,000 retrieval requests per month with no credit card A prototype agent memory can be tested indefinitely before paying. documented source (opens in a new tab)

Check before paying for MemorySync

Developer-oriented; requires coding to use No-code interface not available; teams need engineering resources documented source (opens in a new tab)
Pricing structure based on request counts (add/retrieval) not storage Heavy usage workloads may accumulate costs quickly documented source (opens in a new tab)
Requires account and API key setup Additional security responsibility for managing credentials documented source (opens in a new tab)
Retrieval requests are limited to 1,000 on Free, 5,000 on Starter ($29) and 25,000 on Pro ($179) per month Read-heavy agents hit the retrieval cap well before the add cap. documented source (opens in a new tab)

How to use MemorySync for add a memory and retrieve it via API

MemorySync documentation: where the steps below come from. docs.memorysync.io, captured Oct 1, 2026

Set up MemorySync

Sign up for free account at memorysync.io
Create an API key in the dashboard
Install Python SDK: pip install memorysync

Example: add a memory and retrieve it via API

Create client with API key and project ID
Add memory: client.add('User prefers dark mode', source='chat')
Query: client.query('What are user preferences?', k=5)
Retrieve ranked results with scores
Use context to augment LLM prompts

Review and export the result

Verify API key is valid and has remaining requests
Check dashboard for memory count
Test query results match expected memories

MemorySync API

MemorySync documentation (continued). docs.memorysync.io, captured Oct 1, 2026

API access and separate billing

MemorySync has no public API in its official documentation. API documentation ↗

Privacy, data use and commercial rights

Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.

How your inputs and outputs are handled

Memories, queries, embedded data, source labels, end-user identifiers

Data not used to train foundation models

Customer-controlled; retention policies enforceable

Controls for business users

Role-based access control (RBAC)
Multi-tenant isolation
Encryption in transit and at rest
Audit logging

Explore MemorySync further

MemorySync pricing, plan by planEvery plan with USD prices, limits and what is free.Best AI coding toolsOur picks in this category, compared by price and free tiers.

Tools and guides near MemorySync

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MemorySync FAQ

How does MemorySync differ from a standard vector database?

MemorySync is a complete memory layer. It handles semantic orchestration, memory compaction, multi-tenant isolation, and policy enforcement. Vector databases are storage-only. source (opens in a new tab)

Can I test MemorySync before upgrading?

Yes. The Free tier includes 10,000 add requests and 1,000 retrieval requests per month with no credit card required. source (opens in a new tab)

Is MemorySync built for enterprise scale?

Yes. Dedicated infrastructure, strict data isolation, SSO/SCIM integration, and custom SLAs are available. source (opens in a new tab)

How secure is my production data?

Security is built-in: multi-tenant isolation, role-based access controls, and enterprise-grade audit logging. Encryption in transit and at rest is standard. source (opens in a new tab)

How fast is memory retrieval?

MemorySync delivers low-latency semantic recall. Even at scale, AI agents remain instantly responsive. source (opens in a new tab)

Sources and review methodology

Official sources and verification dates

MemorySync – AI Memory Infrastructure homepage · checked Oct 1, 2026 · Platform overview, Framework integrations
Pricing – MemorySync pricing · checked Oct 1, 2026 · Plans, Feature comparison, FAQs
MemorySync Documentation docs · checked Oct 1, 2026 · API overview, SDK installation
Privacy Policy | MemorySync policy · checked Oct 1, 2026 · Data collection, Privacy controls

Not verified: Exact embedding model backend; Specific latency guarantees at scale; Volume discounts for Enterprise; Credit rollover policies.

How we documented and maintain this page

Every fact about MemorySync above comes from the 4 official pages listed here, last compared on Oct 1, 2026; we have not run MemorySync ourselves, so it has no editorial score. How we check and re-check pages.

Article updated Oct 10, 2026; prices checked Oct 1, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error