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Based on our record, Mochi seems to be a lot more popular than Supermemory. While we know about 55 links to Mochi, we've tracked only 3 mentions of Supermemory. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / about 2 months ago
We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 3 months ago
My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / almost 2 years ago
It's not FOSS but Mochi [0] is a pretty good alternative. [0] https://mochi.cards/. - Source: Hacker News / 6 months ago
Possible alternative to check out (not affiliated): https://mochi.cards/. - Source: Hacker News / 6 months ago
I would like to see randomized control group studies using study mode. Does it offer meaningful benefits to students over self directed study? Does it out perform students who are "learning how to learn"? What affect does allowing students to make mistakes have compared to being guided through what to review? I would hope that study mode would produce flash card prompts and quantize information for usage in spaces... - Source: Hacker News / about 1 year ago
I'm a big fan of Mochi[1] (also unaffiliated) after getting frustrated with the clunkiness of Anki. Mochi has great native apps on macOS and iOS (and maybe more?), the cards are formatted in markdown so I can generate them with LLMs with a custom system prompt, and I just found out today they have an API so I might try my hand at getting an LLM to push new cards on its own via. An MCP server. 1. https://mochi.cards/. - Source: Hacker News / about 1 year ago
I think spaced repetition can be very helpful in language learning, but the author's plan of finding a pre-made deck of the most common 5,000 words is probably the worst way to use it. A much more effective approach is to create vocab cards yourself as you find new words through your immersion. Immersion could be anything from watching content online, to reading, to conversations with native speakers. From here... - Source: Hacker News / over 1 year ago
Mem - Capture and access information from anywhere
Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.
OpenMemory - Give AI agents long-term memory.
Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.
Mengram - AI memory API with 3 types: facts, events, and workflows
RemNote - All-in-One Tool For Thinking & Learning