memex
lunary
| memex | lunary | |
|---|---|---|
| 2 | 5 | |
| 94 | 871 | |
| - | 8.6% | |
| 3.7 | 9.9 | |
| about 1 year ago | 5 days ago | |
| TypeScript | TypeScript | |
| GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
memex
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Show HN: Autolicious – AI-powered bookmark cataloging Chrome extension
There is a nice opensource extension that does exactly that: https://github.com/memex-life/memex
I tried to use it, and it just does not work very well, I don't it's because implementation is bad, it's just RAG (retrieval based generation) does not work well outside of some simple use cases.
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Tool for Thought (2005)
Hey folks, I've been really enjoying this discussion and wanted to chime in with some thoughts on the nature of personal knowledge bases. I've been dabbling in a side project that tries to address some of the issues mentioned here, mainly focusing on automation and the use of LLMs.
I believe one of the main challenges in building a personal knowledge base is achieving the right balance between automation and manual curation. While automation can conserve time, it's crucial not to lose the personal touch that makes these knowledge bases meaningful and relevant to us as individuals. My approach aims to capture your readings as you browse the web. Though this is a simple approach, it focuses solely on your personal experience.
In my project, I've been experimenting with using LLMs to help with information retrieval. The idea is to enhance the search experience by leveraging AI to not only find relevant content but also to provide context, answer questions, and offer insights. I've found that integrating LLMs can add a whole new dimension to exploring our personal libraries.
I think it's essential for any knowledge management tool to be user-friendly and accessible, allowing people to focus on the content rather than getting bogged down by the tool itself.
Anyway, just wanted to share some thoughts and ideas I've been playing with in my project. if you are interested. Please check out my project here.
[https://github.com/memex-life/memex](https://github.com/meme....
lunary
- LLMonitor v.3.0 - Observability toolkit for LLM developers
- I made an observability tool for LLM apps (alternative to LangSmith)
- Show HN: LLMonitor – open-source observability for LLM apps
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9 Open Source tools to take your AI app to the next level 🚀🤖
⭐ Give LLMonitor a ⭐️ on GitHub
- Show HN: Open-source observability for LLM apps
What are some alternatives?
IncognitoPilot - An AI code interpreter for sensitive data, powered by GPT-4 or Code Llama / Llama 2.
salute - A simple and declarative way to control LLMs
namegpt - Generate unique and creative project names in seconds with AI!
clipea - 📎🟢 Like Clippy but for the CLI. A blazing fast AI helper for your command line
ReadSomething - 📖 一个开源的 Chrome 插件，可以将网页转成阅读模式，并且内置了 AI 总结、翻译、Markdown 转换等功能。
duet-gpt - A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.
chat-to-your-database - Chat to your database with AI. An experimental app to test the abilities of LLMs to query SQL databases using natural language.
gpt-runner - Conversations with your files! Manage and run your AI presets!
SQLiteGPT - SQL function for SQLite to directly query OpenAI's ChatGPT
botpress - The open-source hub to build & deploy GPT/LLM Agents ⚡️
databerry - The no-code platform for building custom LLM Agents
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool