# Remind AI vs Screenpipe

Remind AI records 3,810 monthly visits with -36.7% month-over-month growth and Free pricing. Screenpipe records 536 monthly visits with -83.7% growth and Freemium, Paid pricing.

| Metric | [Remind AI](https://openaitools.app/tool/remind-ai) | [Screenpipe](https://openaitools.app/tool/screenpipe) |
| :--- | :--- | :--- |
| Website URL | https://www.recallmemory.io | https://screenpi.pe |
| Categories | AI Knowledge Management, AI Assistant, AI Productivity Tools, Open Source AI Models | AI Developer Tools, AI Agent, AI OCR, AI Speech-to-Text |
| Pricing Model | Free | Freemium, Paid |
| Monthly Visits | 3,810 | 536 |
| MoM Growth Rate | -36.7% | -83.7% |
| Primary Market | India | United States |
| Direct Visits | 1,474 | 209 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Remind AI

Remind AI, also presented as reMind, is a free and open-source desktop memory application built around a simple idea: your computer should remember what you did so you do not have to. It captures your digital activity as it happens, turns that stream into a searchable index using a local language model, and answers questions in plain language. The project positions itself as a privacy-respecting alternative to cloud-based recall features.

The app is aimed at people who want the productivity benefits of an AI memory without sending their screen contents, meeting notes, or private conversations to a third party. The project publishes its roadmap and maintains an active open-source repository, Discord community, and social channels, and it draws visible support from developers who value the local-first approach.

Because the heavy lifting is intended to happen on-device with local models, practical hardware requirements and performance depend on your machine rather than a subscription tier. Remind AI is distributed as a free download for interested users, and being open source means the community can inspect, extend, and build on the codebase. Exact platform support and system requirements evolve with the project, so check the download page for current details.

**Pricing & Plans:** Free. Remind AI is a free, open-source application; it is distributed as a download with no listed subscription tier on its site.

- **Automatic activity capture:** Remind AI records your digital activity on your device so that your screen, apps, and notes become a searchable memory instead of disappearing at the end of the day.
- **Ask in natural language:** Query your own history conversationally, for example to find meeting notes or a document you saw recently, and get the relevant moment back without manual filing.
- **Local LLM processing:** The indexing and recall layer runs with a local language model, keeping sensitive screen contents and personal data on your machine rather than in the cloud.
- **Open-source and community-driven:** The codebase is open, with a public roadmap, community Discord, and developer contributions, so users can audit how their data is handled and help shape the product.
- **Cross-app context:** Because it captures activity at the system level, Remind AI can connect information across different apps and windows instead of siloing it inside one tool.

**Strengths:** Free and open source, with a public roadmap and community contributions; Local-first design keeps captured screen and activity data on your own device; Natural-language recall removes the need to organise files and notes manually; Captures cross-app context rather than trapping information in a single tool

**Limitations:** Local model performance and capture quality depend heavily on your hardware; The project is community-driven, so polish, support, and platform coverage can lag commercial tools; Because it records activity broadly, users must think carefully about privacy and access controls

[Profile (Markdown)](https://openaitools.app/tool/remind-ai.md)

## Screenpipe

Screenpipe is built on a straightforward idea: your computer already holds a record of your working day, but it disappears the moment it scrolls off screen. By capturing screen activity and audio locally, Screenpipe turns that stream into a searchable memory — one that both you and your AI tools can query. The pitch is that an assistant is far more useful when it actually knows what you have been doing, rather than starting from a blank context each time.

The technical approach is deliberately open. Screenpipe keeps a local database and exposes a REST API and MCP server, so models such as Claude or Codex — or your own agent — can read from it. Because the history is structured, it also becomes a foundation for workflow discovery: reviewing recurring tasks across apps, seeing where exceptions occur, and deciding what is worth documenting or automating.

Privacy is handled with local-first defaults. Raw history stays on your machine, sensitive fields can be redacted on-device, and you can exclude particular apps, windows or URLs. For organisations, Screenpipe offers an enterprise workspace with device management, SSO and audit logs, so a company can adopt it without centralising everyone's raw screen history. It runs on macOS, Windows and Linux and is source-available, with SOC 2 Type 2, HIPAA, GDPR and CCPA commitments listed for enterprise use.

**Pricing & Plans:** Freemium. Screenpipe is free to download for macOS, Windows and Linux with local capture and API access. Paid and enterprise plans add workspace management, policy controls, deployment tooling and audit features; see the official pricing page for current rates.

- **Local screen and audio capture:** Capture screen activity, OCR text and audio locally so everything you saw or heard becomes searchable later.
- **Built-in API and MCP server:** A local database, REST API and MCP server let Claude, Codex or your own agent query your work history directly.
- **Recall and search:** Scrub back through your day to the exact screen, document or conversation you half-remember and pick up where you left off.
- **Workflow discovery:** See recurring work across your apps, review the steps and exceptions, and decide what to document or automate next.
- **Privacy controls:** Exclude apps, windows and URLs, redact sensitive fields on-device and keep raw history local by default.

**Strengths:** Captures screen and audio together for richer context than transcript-only tools; Local-first storage with on-device redaction and app/window exclusion; Open API, MCP server and inspectable local database avoid model lock-in; Workflow discovery surfaces automation opportunities in real work

**Limitations:** Continuous screen capture raises real privacy and compliance questions, even with local-by-default storage; Recording everything consumes CPU, battery and disk, so lighter machines may notice overhead; Getting value depends on connecting an agent and learning the local API/MCP workflow; Enterprise features like MDM, SSO and audit logs sit behind a paid tier

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

## Frequently Asked Questions

### How do Remind AI and Screenpipe compare in monthly traffic?

Remind AI has 3,810 monthly visits, while Screenpipe has 536. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Remind AI has a month-over-month growth rate of -36.7%; Screenpipe has -83.7%.

### How does pricing compare?

Remind AI: Free. Free. Remind AI is a free, open-source application; it is distributed as a download with no listed subscription tier on its site. Screenpipe: Freemium, Paid. Freemium. Screenpipe is free to download for macOS, Windows and Linux with local capture and API access. Paid and enterprise plans add workspace management, policy controls, deployment tooling and audit features; see the official pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 2 | [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | +9.6% | Freemium | AI meeting agent that transcribes, summarises, and turns every conversation into searchable knowledge | [.md](https://openaitools.app/tool/otter-ai.md) |
| 3 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 4 | [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) |
| 5 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) |
| 6 | [Clipto](https://openaitools.app/tool/clipto-com) | 1,857,276 | +10.9% | Free Trial, Paid | Local-first AI memory that makes your videos, audio and documents searchable | [.md](https://openaitools.app/tool/clipto-com.md) |
| 7 | [ScreenApp](https://openaitools.app/tool/screenapp) | 1,690,456 | +8.6% | Freemium | Record, transcribe, and summarize meetings, audio, and video with AI. | [.md](https://openaitools.app/tool/screenapp.md) |
| 8 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 9 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Own your intelligence: a private AI assistant that runs entirely on your machine | [.md](https://openaitools.app/tool/anythingllm.md) |
| 10 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) |

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Source: https://openaitools.app/compare/remind-ai-vs-screenpipe

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