Manthan a MCP server to store Concept cards with prerequisite links
I generally am a forgetful person who remembers very little of what is read sometime ago. I also tried using many of tools related to hardcoded flashcards but they may not present the full picture. I can't share it with my friends about what i am learning easily without signin up. manthan solves for that. I can create a deck of cards that have prerequisites and since this is a MCP any ai agent which has mcp capability can do this. Its been a time saver for me to recap what is the dense things that are there in a topic. the above one is related to build things that don't scale by PG. Also…
What it does
A shared Manthan deck — prerequisite-ordered concept cards, free to explore with no login required.
Like what you see? Add this deck to your Manthan account to keep building onfrom manthan.sirune.tech
In the maker’s words, at launch
I generally am a forgetful person who remembers very little of what is read sometime ago. I also tried using many of tools related to hardcoded flashcards but they may not present the full picture. I can't share it with my friends about what i am learning easily without signin up. manthan solves for that. I can create a deck of cards that have prerequisites and since this is a MCP any ai agent which has mcp capability can do this. Its been a time saver for me to recap what is the dense things that are there in a topic. the above one is related to build things that don't scale by PG. Also this has been helpful in sharing a common book like high output management or monetizing innovation which were useful to people some sessions of AI Learn Circle in Bangalore. let me know if there is anything to improve and if this is a useful tool. if you want the prerequisite/roadmap view, sign in ,it adds the deck to your account and you can open it in the app from there.
Does the same job
all alternatives →- MAMy AI Native Resume2025 · ai.jakegaylor.com · ▲301
I've been deeply involved in working with AI agents and large language models (LLMs) for a while now. During a recent job search, I found myself repeatedly explaining my skills and experiences to various assistants. Around the same time, I was creating content for my website to help hiring teams understand my capabilities better and make informed decisions. MCP had started to gain momentum and I saw a way to reduce my toil. So I built an MCP server that can effectively communicate my qualifications as a job candidate. This server acts as an AI-powered resume, providing an understanding of my…

- RMReference MCP – let your AI agents search each other's past sessionsJun 2026 · github.com · ▲5
I was tired of asking my claude code to reference my codex chats to get references to what decisions it made and why ; so I built Reference MCP It, whenever prompted establishes sessions to get direct access - been using it on my system for a bit and was super helpful so I made a repo :) Would love feedback!
- CAColin, a context engine for keeping agent skills freshJan 2026 · github.com · ▲7
Hi HN — I'm the creator of FastMCP and wanted to share a new project we've open-sourced called Colin. I obviously love MCP, but I also use skills extremely heavily in my day-to-day work. Being exposed to both has made me very aware of a tension: - Anything with dynamic information, I ship over MCP. This takes work to set up and requires conversational boilerplate to refresh in every conversation. - Anything behavioral, I put in skills. They're lightweight, used automatically, and feel great. But I would never put dynamic information in a skill because keeping it up to date is a pain. And yet…
- PLPMB – local-first memory for AI coding agents over MCPJun 2026 · github.com · ▲7
How it works: - Storage uses one SQLite database file, plus a local LanceDB index of vectors. No need for a server, cloud services, or any API keys. - Retrieval is a hybrid approach using BM25 (rank-bm25) and vector-based search (sentence-transformers) combined with a co-occurrence graph of entities, using reciprocal rank fusion. The idea is to find the right memory, not the closest one. - It plugs into the agent's lifecycle via MCP: before the agent responds, relevant memories are added to its input; after each turn, decisions and new learnings are automatically recorded. No need to…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com