# Merge vs supermemory

Merge records 313,201 monthly visits with +1.7% month-over-month growth and Freemium, Contact for Pricing pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.

| Metric | [Merge](https://openaitools.app/tool/merge-dev) | [supermemory](https://openaitools.app/tool/supermemory-1) |
| :--- | :--- | :--- |
| Website URL | https://www.merge.dev | https://supermemory.ai |
| Categories | AI API, AI Agent, AI Developer Tools, AI Workflow | AI API, Large Language Models (LLMs), AI Developer Tools, AI Agent |
| Pricing Model | Freemium, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 313,201 | 156,579 |
| MoM Growth Rate | +1.7% | -7.7% |
| Primary Market | United States | United States |
| Direct Visits | 97,106 | 71,163 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Merge

Merge is an infrastructure company that builds the 'context layer' for AI agents and products. Its flagship product, Merge Unified, gives developers a single API to read and write customer data across hundreds of third-party systems — HRIS, payroll, ATS, CRM, accounting, ticketing, and file storage — replacing dozens of bespoke integrations with normalized data models, Merge Link, webhooks, and field mappings.

On the agentic side, Merge Agent Handler connects AI agents to thousands of pre-built, authenticated tools so they can take real actions across third-party services, while Merge Gateway routes every LLM call through one API with failover, spend limits, and performance controls. Merge for Workforce extends this internally: IT can push approved models, MCP connectors, and skills to employee AI tools, set budgets per team, and apply DLP scanning and audit logging.

Merge is built for teams that need enterprise compliance out of the box; it is certified SOC 2 Type II, ISO 27001, HIPAA, and GDPR-compliant, and supports SAML SSO, RBAC, field-level scopes, selective sync, and integration observability. Pricing is freemium at the entry and contract-based at scale, making it accessible for startups shipping a proof of concept and for enterprises needing white-glove support.

**Pricing & Plans:** Freemium with contract-based tiers. The Launch plan includes 3 production Linked Accounts free, then $650/month for up to 10 Linked Accounts with $65 per additional account and volume discounts. Professional and Enterprise plans are contract-based with custom fields, field-level scopes, custom sync frequencies, enterprise security, SLAs, and premium support.

- **Unified API for data integrations:** One normalized API connects your product to hundreds of HRIS, payroll, ATS, CRM, accounting, ticketing, and file storage systems with read and write access.
- **Agent Handler tool access:** Give agents secure, authenticated access to thousands of pre-built tools across third-party services, with scoped permissions and audit logs.
- **LLM Gateway and routing:** Route every model through one API with automatic failover, pre-built or custom routing rules, and spend and performance controls.
- **Merge for Workforce governance:** Distribute approved MCP connectors, models, and skills to employee AI tools with per-team budgets, DLP scanning, and audit logging.
- **Enterprise security and observability:** SOC 2 Type II, ISO 27001, HIPAA, and GDPR compliance plus SSO, RBAC, logs, health monitoring, and linked account management.

**Strengths:** Replaces dozens of bespoke integrations with a single maintained API; Covers both data integrations and agentic tool access in one platform; Strong enterprise compliance posture with SOC 2 Type II, ISO 27001, HIPAA, and GDPR; Governance features like DLP, per-team budgets, and audit logs suit large organizations

**Limitations:** Pricing scales quickly once you exceed the free linked accounts; Contract-based tiers require a sales conversation to get exact quotes; The breadth of products can be complex to navigate for small teams

[Profile (Markdown)](https://openaitools.app/tool/merge-dev.md)

## supermemory

Most LLM applications treat memory as an afterthought: chat history is stuffed into the prompt until the window fills up, and everything is lost on the next session or the next model switch. supermemory attacks that problem as infrastructure. Its learner-1 model reads incoming material — conversations, files, URLs, raw data — and performs update, merge, infer and forget operations against a vector-graph database, so learnings stay dense, interconnected and time-aware rather than piling up as an ever-growing transcript.

At request time the relevant memories are injected as tokens directly into the agent's context, which keeps the approach model-agnostic and harness-agnostic. Because learning and memory live outside the model providers, the same accumulated understanding travels with an application whether it runs on Claude, GPT-family models, Gemini or open-weight models, and whether it is driven by an SDK, a plugin or MCP.

The company positions this as the hard part of agent infrastructure and backs it with published numbers: sub-second recall on production traffic, roughly a trillion tokens processed per month, benchmarks on LongMemEval, LoCoMo and ConvoMem, and cost comparisons against markdown-file memory at large corpora. Enterprise features include SOC 2 Type II certification, a HIPAA BAA on higher tiers, GDPR compliance and deployment options ranging from cloud to VPC, on-premises and air-gapped environments.

**Pricing & Plans:** Pricing is split between self-serve tiers and enterprise contracts, which is why the site lists a contact-for-pricing model. Free, Pro and Max tiers cover standard PDF extraction and personal use, while Scale and Enterprise add advanced document extraction with OCR and figure/diagram descriptions, higher limits, security guarantees such as SOC 2 Type II and HIPAA BAA, and deployment choices including your VPC, your data center or air-gapped setups. Exact figures should be confirmed on the pricing page for current rates.

- **learner-1 memory model:** A dedicated model extracts, merges, infers and forgets across stored context so the memory graph keeps improving instead of simply accumulating.
- **Vector-graph memory store:** Learnings link to the entities, sources and moments around them, storing not just content but a time-aware map of how facts relate.
- **Model, harness and MCP agnostic:** Memory lives outside model providers and is used through APIs, SDKs, plugins and MCP, so context carries across models and tools.
- **Real-time context injection:** Relevant memories are injected as tokens into the prompt at request time, giving agents relevant context without unbounded transcripts.
- **Enterprise deployment and compliance:** SOC 2 Type II, HIPAA BAA on higher tiers, GDPR compliance, plus deployment in the cloud, your VPC, your data center or air-gapped.

**Strengths:** Memory is decoupled from model providers, so accumulated context survives model swaps; Rich engineering evidence, including published benchmarks, latency figures and cost comparisons; Multiple integration surfaces — REST API, SDKs, plugins and MCP; Strong enterprise posture with SOC 2 Type II, HIPAA BAA, GDPR and air-gapped deployment options

**Limitations:** Self-serve pricing on the public site is thin, and exact tier costs may require a sales conversation; It is infrastructure rather than an end-user app, so there is real integration work before you see value; Benchmark results and adoption figures are vendor-reported and worth validating against your own workload

[Profile (Markdown)](https://openaitools.app/tool/supermemory-1.md)

## Frequently Asked Questions

### How do Merge and supermemory compare in monthly traffic?

Merge has 313,201 monthly visits, while supermemory has 156,579. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Merge has a month-over-month growth rate of +1.7%; supermemory has -7.7%.

### How does pricing compare?

Merge: Freemium, Contact for Pricing. Freemium with contract-based tiers. The Launch plan includes 3 production Linked Accounts free, then $650/month for up to 10 Linked Accounts with $65 per additional account and volume discounts. Professional and Enterprise plans are contract-based with custom fields, field-level scopes, custom sync frequencies, enterprise security, SLAs, and premium support. supermemory: Contact for Pricing. Pricing is split between self-serve tiers and enterprise contracts, which is why the site lists a contact-for-pricing model. Free, Pro and Max tiers cover standard PDF extraction and personal use, while Scale and Enterprise add advanced document extraction with OCR and figure/diagram descriptions, higher limits, security guarantees such as SOC 2 Type II and HIPAA BAA, and deployment choices including your VPC, your data center or air-gapped setups. Exact figures should be confirmed on the pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unifies access to hundreds of large language models, but focuses on LLM inference routing rather than SaaS data integration. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 3 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Focuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context. | [.md](https://openaitools.app/tool/composio.md) |
| 4 | [Postman](https://openaitools.app/tool/postman) | 1,764,877 | -7.6% | Freemium | Industry-standard platform for designing and testing APIs, but lacks Merge's pre-built managed authentication and unified integration connectors. | [.md](https://openaitools.app/tool/postman.md) |
| 5 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search and crawling API purpose-built for AI agents, but does not provide third-party SaaS data integration infrastructure. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 6 | [Vapi](https://openaitools.app/tool/vapi) | 662,301 | -11.4% | Freemium | Build, test, and deploy production-grade voice AI agents over API | [.md](https://openaitools.app/tool/vapi.md) |
| 7 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |
| 8 | [Treg](https://openaitools.app/tool/treg) | 452,935 | +223.4% | Freemium | Open-source MCP gateway connecting AI agents to structured data endpoints, but lacks Merge's comprehensive business app unified API. | [.md](https://openaitools.app/tool/treg.md) |
| 9 | [Pipedream](https://openaitools.app/tool/pipedream) | 312,216 | -14.3% | Freemium, Paid, Contact for Pricing | Offers managed authentication and webhook triggers for connecting workflows and AI agents, but lacks Merge's pre-built enterprise data connectors. | [.md](https://openaitools.app/tool/pipedream.md) |
| 10 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | Offers enterprise-grade scalable vector search and RAG storage, but lacks supermemory's automated agent memory graph abstractions. | [.md](https://openaitools.app/tool/pinecone.md) |

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Source: https://openaitools.app/compare/merge-dev-vs-supermemory-1

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)