# EverMemOS vs Llongterm

EverMemOS records 24,237 monthly visits with +12% month-over-month growth and Free Trial, Free pricing. Llongterm records 0 monthly visits with 0% growth and Freemium, Paid pricing.

| Metric | [EverMemOS](https://openaitools.app/tool/evermemos) | [Llongterm](https://openaitools.app/tool/llongterm) |
| :--- | :--- | :--- |
| Website URL | https://evermind.ai | https://www.llongterm.com |
| Categories | AI Developer Tools, AI Agent, Open Source AI Models, AI Models | AI Knowledge Management, AI Developer Tools, AI API, AI Knowledge Base |
| Pricing Model | Free Trial, Free | Freemium, Paid |
| Monthly Visits | 24,237 | 0 |
| MoM Growth Rate | +12% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 14,588 | 0 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## EverMemOS

Modern LLMs forget. Context windows cap out, RAG returns similar text without real understanding, and most memory systems are built for one user and one model. EverMemOS, the flagship product of EverMind's product family alongside the EverMe personal memory hub, is designed to close that gap by acting as a memory operating system for agents: persistent, proactive and self-evolving rather than stateless.

Two capabilities stand out. First, mRAG — a multimodal retrieval and ingestion layer that pulls in PDFs, images, Word documents, spreadsheets, presentations, emails, HTML pages and URLs through one API and supports cross-modal search. Second, self-evolving memory: agent trajectories are captured as Cases, repeated patterns are distilled into reusable Skills, and the agent applies those later instead of starting from scratch each session. A Memory Bank interface gives users visibility into user, group and agent memory and lets them inspect, manage and edit generated Skills.

EverMind frames memory as the difference between a tool and an agent, and backs the claim with reproducible open benchmarks — LoCoMo, LongMemEval and AMA are all listed on the site. The product family includes EverOS for developers building agent memory and EverMe as a personal memory hub. New users receive 2,000 credits on signup, and a Mac app is available.

**Pricing & Plans:** EverMind offers a free signup with 2,000 starter credits. No fixed public price list is shown for the cloud platform, and the company positions its memory infrastructure with free and open-source components alongside paid plans.

- **mRAG multimodal memory:** Multimodal retrieval and ingestion via a single API, covering PDFs, images, Word files, spreadsheets, decks, emails, HTML and URLs.
- **Self-evolving agent memory:** Agent trajectories are recorded as Cases, distilled into reusable Skills, and reused so performance improves over time.
- **Memory Bank transparency:** Inspect, manage and edit user, group and agent memories in a dedicated Memory Bank interface.
- **Open benchmark results:** EverMind publishes reproducible results on LoCoMo, LongMemEval and AMA alongside its memory research.
- **Team and temporal memory:** Supports multi-agent coordination and group context sharing, plus temporal tracking so outdated facts are not treated as current.

**Strengths:** Tackles a real gap: persistent memory and identity for AI agents; mRAG takes many document and media types through one API; Self-evolving Skills let agents improve instead of starting from zero; Transparent Memory Bank for inspecting and editing stored memory

**Limitations:** Memory infrastructure requires developer integration effort; The memory-OS space is crowded and fast-moving, so APIs may evolve; Self-hosting the open-source core puts operational load on your team; Benchmark leadership claims still need validation on your own workloads

[Profile (Markdown)](https://openaitools.app/tool/evermemos.md)

## Llongterm

Llongterm answers a question every serious AI app eventually runs into: what happens to the conversation when the session ends? The product is a memory layer that sits between your application and its chatbot or agent. Instead of losing the thread, you create a "mind" for each user, pass in the relevant messages, and call remember — the API returns a memory object that captures what matters and can be fed back into future interactions.

What sets Llongterm apart is transparency. Its stored memories are fully human readable: nested structures with named keys that describe a user's learning style, goals, history or account status rather than an opaque embedding blob. The website demonstrates this with example profiles for AI teaching assistants, customer support, therapy notes and product management, showing how a long list of captured fields can be reviewed by a human. That makes the memory auditable and easier to correct.

Integration is deliberately lightweight. The primary SDK is JavaScript, with a sandbox available to experiment before wiring it into a real product, and a Python package listed as coming soon. Because Llongterm positions itself as the middle layer rather than a chatbot itself, it is intended to be compatible with all AI chatbots and agents.

**Pricing & Plans:** Freemium with paid plans. Llongterm offers a free entry point to build and test memory, with paid tiers for production usage. Specific plan prices are not prominently published, so higher-volume use may require contacting the vendor.

- **Persistent memory for AI apps:** Store and recall user details across sessions so an assistant remembers preferences, history and context.
- **Fully human-readable memory:** Memories are stored with named keys and nested structure, so you can read and audit exactly what is retained.
- **JavaScript SDK and sandbox:** A JavaScript SDK plus Python on the way, with a sandbox so you can try the flow before integrating.
- **Works with any chatbot or agent:** Llongterm sits between your app and any chatbot or agent, including assistants, support bots and analysis workflows.
- **Simple create and remember calls:** The API returns a memory object you control, so personalisation is programmatic rather than a black box.

**Strengths:** Adds genuine cross-session memory to chatbots with minimal integration work; Human-readable memory makes the AI's knowledge auditable and correctable; Framework-agnostic — works with any chatbot or agent; Sandbox lets you try the API before committing

**Limitations:** Python SDK is still marked 'coming soon' on the site; Requires application code to adopt the memory layer rather than being a drop-in chat product; Memory quality depends on how you structure the threads you pass in; Self-serve pricing details are not prominently published — larger use may need a conversation with the vendor

[Profile (Markdown)](https://openaitools.app/tool/llongterm.md)

## Frequently Asked Questions

### How do EverMemOS and Llongterm compare in monthly traffic?

EverMemOS has 24,237 monthly visits, while Llongterm has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

EverMemOS has a month-over-month growth rate of +12%; Llongterm has 0%.

### How does pricing compare?

EverMemOS: Free Trial, Free. EverMind offers a free signup with 2,000 starter credits. No fixed public price list is shown for the cloud platform, and the company positions its memory infrastructure with free and open-source components alongside paid plans. Llongterm: Freemium, Paid. Freemium with paid plans. Llongterm offers a free entry point to build and test memory, with paid tiers for production usage. Specific plan prices are not prominently published, so higher-volume use may require contacting the vendor.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Google's family of lightweight, open-weight AI models | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) |
| 2 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 3 | [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | +5.1% | Free | Open-source model and dataset hub with one-click online demos | [.md](https://openaitools.app/tool/modelscope-community.md) |
| 4 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Give your AI agents secure, authenticated access to 1,700+ apps | [.md](https://openaitools.app/tool/composio.md) |
| 5 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 6 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | The universal context engine connecting agents to data, tools, and models | [.md](https://openaitools.app/tool/merge-dev.md) |
| 7 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 8 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | AI gateway, observability and guardrails for production LLM apps | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 9 | [supermemory](https://openaitools.app/tool/supermemory-1) | 156,579 | -7.7% | Contact for Pricing | A memory and continual-learning engine that gives any AI agent persistent context | [.md](https://openaitools.app/tool/supermemory-1.md) |
| 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) |

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Source: https://openaitools.app/compare/evermemos-vs-llongterm

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