Needle
Enterprise-driven, adaptive, automated GenAI Framework
Needle launched on December 12, 2024 with 12 votes, #1,362 of 5,365 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Needle is a cutting-edge GenAI framework designed to empower organizations to build and deploy intelligent, conversational AI applications, contact us for more detail.
Build and deploy AI-powered workflows with Needle. Automate business processes, connect enterprise data, create custom AI agents, and drive faster business outcomes.
Deploy AI agents built to govern, automate, and audit every enterprise workflow. 85% of enterprise AI initiatives fail to reach production because organizations struggle with governance, infrastructure control, workflow fragmentation, and operational visibility. Every increase in AI workflow volume adds manual coordination, oversight, and specialist dependency. Without dedicated orchestration infrastructure, growth becomes a staffing problem and stops being a technology advantage. AI workflows that run without traceability operate as black boxes. Your operations, compliance, and IT teams cannot audit decisions, trace tool usage, review execution paths, or account for operational costs.…from softwebsolutions.com
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Needle: We Distilled Gemini Tool Calling into a 26M ModelMay 2026 · github.com · ▲776Hey 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…
Needle2: 14MB agentic LLM for phones, wearables, smart home and robotsAug 2026 · cactuscompute.com · ▲537Hey 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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