
Knowrithm
One Platform, Unlimited Intelligent Agents
What it does
Create AI chatbot agents with your own API keys. Choose from any LLM provider (OpenAI, Anthropic, Google, Mistral) and embedding models. Connect to databases (PostgreSQL, MySQL, MongoDB), crawl websites, and train on documents. Complete admin dashboard for managing agents, training data, leads, databases, and documents. Python & TypeScript SDK included. Enterprise-grade AI platform with multi-model support, self-training capabilities, and flexible deployment.
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DronaHQ Agentic PlatformApr 2026 · dronahq.com · ▲59One framework for chatbots, webhook, voice & data agents
- IBI built an open-source AI data layer that connects any LLM to any dataOct 2025 · github.com · ▲18
Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
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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…
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