
ForgeAI
Connect any LLM to WhatsApp & 7 more channels. Self-hosted
What it does
Self-hosted AI assistant platform. Connect any LLM (Claude, GPT, DeepSeek, Ollama + 6 more) to WhatsApp, Telegram, Discord, Slack, Teams, Google Chat & WebChat — one encrypted gateway. 🔒 17 security modules (AES-256, RBAC, 2FA, prompt guard) 🤖 19 built-in tools (browser, shell, code, files) 👥 Forge Teams — multi-agent task execution 🧠 Persistent memory with semantic search 📊 19-page real-time dashboard 🔌 IoT support (Raspberry Pi, ESP32) Open-source · MIT · TypeScript
Does a similar job
all alternatives →- OSOpen source alternative to ChatGPT and ChatPDF-like AI tools2023 · github.com · ▲234
Hey everyone, We have been building SecureAI Tools -- an open-source application layer for ChatGPT and ChatPDF-like AI tools. It works with locally running LLMs as well as with OpenAI-compatible APIs. For local LLMs, it supports Ollama which supports all the gguf/ggml models. Currently, it has two features: Chat-with-LLM, and Chat-with-PDFs. It is optimized for self-hosting use cases and comes with basic user management features. Here are some quick demos: * Chat with documents using OpenAI's GPT3.5 model: https://www.youtube.com/watch?v=Br2D3G9O47s * Chat with documents…

- LSLlamaGPT – Self-hosted, offline, private AI chatbot, powered by Llama 22023 · github.com · ▲225



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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, March 2026
the whole month →

Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


