MemFree is an open-source hybrid AI search engine that answers queries using the web and your indexed bookmarks, notes, and documents.
- for
- Developers, researchers, and knowledge workers who need fast AI-augmented search across personal and web sources.
- pricing
- freemium
Key features
- Hybrid AI Search — Combines web results with indexed personal bookmarks, notes and docs for accurate answers.
- One-Click Indexing — AI indexes your knowledge base with a single click, no manual organization needed.
- Multiple Answer Formats — Responses can be delivered as text, mind maps, images or videos.
- Web & Chrome Extension — Search directly from the browser via a Chrome extension.
- Model Flexibility — Supports GPT-4o-mini, GPT-4o, O1-mini, O1-preview, Claude-3.5-Sonnet and other models.
- Context-Based Continuous Search — Keeps search context across queries for deeper exploration (Pro plan).
- Rerank Capability — Improves result relevance by re-ranking search results (Pro plan).
- Large File Support — Upload up to 50 MB per file for AI analysis (Premium plan).
Use cases
- Quickly answer a technical question using both internet sources and your saved notes.
- Summarize a PDF or web article while preserving key points in a mind-map.
- Retrieve code snippets from bookmarked repositories without leaving the search UI.
- Generate visual explanations (images or videos) for complex concepts from personal docs.
MemFree pricing
- Free$0/monthUp to 5 AI searches per day · Index up to 10 bookmarks/web pages · 1024 token output · Save 100 search histories
- Pro$8/month (annual)500 AI searches per month · Index up to 1000 bookmarks/web pages · 4096 token output · 20 MB file upload
- Premium$24/month (annual)3000 AI searches per month · Index up to 10 000 bookmarks/web pages · 16384 token output · 50 MB file upload
MemFree vs alternatives
MemFree | acreom | Dify.AI | Langfuse | Pocketenv | |
|---|---|---|---|---|---|
| Best for | Hybrid AI search over personal knowledge bases | Developer knowledge base | LLMOps and app building | LLM observability | AI sandbox runtime |
| Pricing | Freemium | Free | Free | Subscription | Free |
| DevHunt upvotes | 1 | 22 | 30 | 89 | 73 |
| Launched | Mar 2025 | Feb 2024 | Jan 2023 | Jan 2023 | Apr 2026 |
- MemFree vs acreom: Focuses on personal knowledge base storage, not hybrid web+AI search.
- MemFree vs Dify.AI: Provides a full LLMOps platform for building AI apps, whereas MemFree is a search-only tool.
- MemFree vs Langfuse: Offers observability for LLM applications, not end-user search functionality.
- MemFree vs Pocketenv: Provides sandbox runtimes for AI agents, unrelated to search indexing.
MemFree FAQ
How does MemFree combine web results with my personal knowledge?+
It indexes your bookmarks, notes and documents and runs AI queries that retrieve both web content and your indexed data in a single answer.
What AI models can I use with MemFree?+
The free tier uses GPT-4o-mini; Pro adds GPT-4o, O1-mini and Claude-3.5-Sonnet; Premium includes the O1-preview model.
Is there a browser extension?+
Yes, MemFree provides a Chrome extension that lets you search directly from the browser.
Can I upload files for analysis?+
Pro users can upload up to 20 MB per file; Premium users up to 50 MB, with support for multiple images at once.
What formats can answers be returned in?+
Answers are available as plain text, mind maps, images, or videos.
Summarized by DevHunt from memfree.me · Sep 28, 2026. Details may change; check the official site.

MemFree
acreom
Dify.AI
Langfuse
Pocketenv











