
Stella AI
Clone human decision-making with CERN-validated AI.
What it does
Most AI just predicts the next word. Stella AI predicts the next decision. We built a CERN & OpenAIRE-validated "Zero-Data" reasoning engine that clones the cognitive maps of historical figures, visionary CEOs, and experts. Instead of standard chatbots, you get autonomous Synthetic Minds capable of strategic thinking. Thanks to our Zero-Data architecture, it creates your Virtual C-suite or digital twin at a fraction of standard compute costs. Welcome to true cognitive AI.
Does the same job
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Second Brain for AIMay 2026 · github.com · ▲286Persistent memory for Claude, ChatGPT & Cursor. Free.
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- ASA Socratic teaching tool that follows curiosity, not curriculumSep 2025 · ▲10
As a student, I was trained to play the formal education game—flashcards, diagrams, fastidiously organized notes. But as a 32-year-old, I’m disappointed by the knowledge and understanding I’ve retained over time. And without the familiar game of formal education to play, I’m often at a loss for how to learn new topics that are interesting but intimidating to me. AI has the potential to change the way people learn, and existing tools show promise. But I’m still dissatisfied—these tools often dump knowledge on me without helping me integrate it into my understanding. --- I built Stella to…

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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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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