Leaf MCP
Your reading library, inside every AI you use.
What it does
Leaf now connects to Claude, ChatGPT, and Notion via MCP. Log pages, get personalized recommendations, and query your reading stats, without leaving your AI chat. What to read next? Just ask. Your AI knows your library, your progress, and your reading history. Get personalized recommendations without ever switching apps. Your reading life, as a Notion dashboard. Connect Leaf to Notion and ask once. Your AI pulls your library, TBR, and reading stats to build a full Notion dashboard.
Does a similar job
all alternatives →- TBTurning books into chatbots with GPT-32023 · konjer.xyz · ▲261
So far I've used it to reference ideas from books I've read before. I've also used it to explore books I have not read before by asking the bot questions. Some people have told me they use it like a reading companion. They pause while reading the book if they have a question, and use Konjer to answer it.
- AOAn open-source e-book reader for conversational reading with an LLM2025 · github.com · ▲86
Hi HN! I've been working on BookWith, an open-source e-book reader that integrates AI as your reading companion. The problem: Traditional e-readers are passive. When you encounter something unclear, you have to context-switch to search for it. Your highlights and notes remain isolated, and you can't easily connect ideas across different books. My solution: BookWith embeds an AI that maintains full context of what you're reading. It features: - Context-aware AI chat: Ask questions about the current page/chapter and get instant answers - AI podcast generation: Automatically converts book…
Glasp MCP ConnectorAug 2026 · glasp.co · ▲99Search your highlights and notes inside Claude and ChatGPT
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 · 18d ago · simedw.com
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AI · 19d ago · company-app.joinastute.com
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, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com